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TA的每日心情 | 奋斗 2024-6-23 05:14 |
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签到天数: 1043 天 [LV.10]以坛为家III
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遗传算法GA
< >遗传算法:</P>3 U) Z2 q2 v/ ]: d1 r1 K
< >旅行商问题(traveling saleman problem,简称tsp):6 }6 B9 l4 {2 n1 k/ }% d# T. `
已知n个城市之间的相互距离,现有一个推销员必须遍访这n个城市,并且每个城市只能访问一次,最后又必须返回出发城市。如何安排他对这些城市的访问次序,可使其旅行路线的总长度最短?
! f( S( V$ D8 q5 D用图论的术语来说,假设有一个图 g=(v,e),其中v是顶点集,e是边集,设d=(dij)是由顶点i和顶点j之间的距离所组成的距离矩阵,旅行商问题就是求出一条通过所有顶点且每个顶点只通过一次的具有最短距离的回路。9 P L/ P" \; A( C* g" y8 n
这个问题可分为对称旅行商问题(dij=dji,,任意i,j=1,2,3,…,n)和非对称旅行商问题(dij≠dji,,任意i,j=1,2,3,…,n)。
8 m$ H2 M+ U4 \5 y若对于城市v={v1,v2,v3,…,vn}的一个访问顺序为t=(t1,t2,t3,…,ti,…,tn),其中ti∈v(i=1,2,3,…,n),且记tn+1= t1,则旅行商问题的数学模型为:8 D% w' B: K X
min l=σd(t(i),t(i+1)) (i=1,…,n)
, w8 v! [' k+ l! W$ }旅行商问题是一个典型的组合优化问题,并且是一个np难问题,其可能的路径数目与城市数目n是成指数型增长的,所以一般很难精确地求出其最优解,本文采用遗传算法求其近似解。
' f( |( T5 V* ~2 _* A" I遗传算法:4 [; p' a( j: |) {( R
初始化过程:用v1,v2,v3,…,vn代表所选n个城市。定义整数pop-size作为染色体的个数,并且随机产生pop-size个初始染色体,每个染色体为1到18的整数组成的随机序列。
) T3 j- v- ^0 [# l$ t适应度f的计算:对种群中的每个染色体vi,计算其适应度,f=σd(t(i),t(i+1)).! c. a, v j" K( U. {0 O4 n) P
评价函数eval(vi):用来对种群中的每个染色体vi设定一个概率,以使该染色体被选中的可能性与其种群中其它染色体的适应性成比例,既通过轮盘赌,适应性强的染色体被选择产生后台的机会要大,设alpha∈(0,1),本文定义基于序的评价函数为eval(vi)=alpha*(1-alpha).^(i-1) 。[随机规划与模糊规划]
7 x% K6 R" O0 a$ [7 u4 L选择过程:选择过程是以旋转赌轮pop-size次为基础,每次旋转都为新的种群选择一个染色体。赌轮是按每个染色体的适应度进行选择染色体的。' l p; q4 w b1 N" |
step1 、对每个染色体vi,计算累计概率qi,q0=0;qi=σeval(vj) j=1,…,i;i=1,…pop-size.
# G, ? H- k% |# {step2、从区间(0,pop-size)中产生一个随机数r;- d! s4 x' Q9 u) ]/ f
step3、若qi-1<r<qi,则选择第i个染色体 ;5 g4 Q7 k! A7 i* X
step4、重复step2和step3共pop-size次,这样可以得到pop-size个复制的染色体。
" X: v1 w) N/ y4 ^grefenstette编码:由于常规的交叉运算和变异运算会使种群中产生一些无实际意义的染色体,本文采用grefenstette编码《遗传算法原理及应用》可以避免这种情况的出现。所谓的grefenstette编码就是用所选队员在未选(不含淘汰)队员中的位置,如:' ]; I; g+ ^( v
8 15 2 16 10 7 4 3 11 14 6 12 9 5 18 13 17 1
: \( J7 E5 y" H) U" R$ Z7 k对应:
5 a' w5 z0 b4 l6 i( m& g7 V8 14 2 13 8 6 3 2 5 7 3 4 3 2 4 2 2 1。3 S0 D4 O4 M! e J" s# \0 h
交叉过程:本文采用常规单点交叉。为确定交叉操作的父代,从 到pop-size重复以下过程:从[0,1]中产生一个随机数r,如果r<pc ,则选择vi作为一个父代。$ @6 J/ t& P2 c6 A1 U- p, ?6 N& ^: B
将所选的父代两两组队,随机产生一个位置进行交叉,如:
/ l0 n4 X2 T6 o5 R! P1 c! b8 14 2 13 8 6 3 2 5 7 3 4 3 2 4 2 2 1
% h/ d7 g, i% M, g: U6 12 3 5 6 8 5 6 3 1 8 5 6 3 3 2 1 19 V) j! z+ V: i' @' o
交叉后为:
1 P, t f( _- `0 L' F* l6 N- N) [8 14 2 13 8 6 3 2 5 1 8 5 6 3 3 2 1 1
2 x1 n8 Q2 t& v6 12 3 5 6 8 5 6 3 7 3 4 3 2 4 2 2 1
$ W- e6 v' \ _- I' _! j变异过程:本文采用均匀多点变异。类似交叉操作中选择父代的过程,在r<pm 的标准下选择多个染色体vi作为父代。对每一个选择的父代,随机选择多个位置,使其在每位置按均匀变异(该变异点xk的取值范围为[ukmin,ukmax],产生一个[0,1]中随机数r,该点变异为x'k=ukmin+r(ukmax-ukmin))操作。如:+ p" h$ s( c6 e/ D; N8 c
8 14 2 13 8 6 3 2 5 7 3 4 3 2 4 2 2 16 Y- {, B D: D$ i6 w
变异后:
* n8 C; H: w" u. T( h7 O) f8 14 2 13 10 6 3 2 2 7 3 4 5 2 4 1 2 1) r; {& O+ ?3 S) n, j. d" a
反grefenstette编码:交叉和变异都是在grefenstette编码之后进行的,为了循环操作和返回最终结果,必须逆grefenstette编码过程,将编码恢复到自然编码。2 L$ a- @' E- a: v8 h
循环操作:判断是否满足设定的带数xzome,否,则跳入适应度f的计算;是,结束遗传操作,跳出。</P>' f, N! _: Q7 B& f/ U2 d7 m4 ^& H# I
< >Matlab程序:</P>
. h$ u* S9 t, }) _ j; a0 |9 ^<DIV class=HtmlCode>0 U" c3 _5 j7 H; e% T4 o
< >function [bestpop,trace]=ga(d,termops,num,pc,cxops,pm,alpha)# g. }- k) Y3 ?3 b/ U
%8 r$ V+ V' i5 l( V
%————————————————————————
( Y4 ^8 w0 t. Q/ I5 x%[bestpop,trace]=ga(d,termops,num,pc,cxops,pm,alpha)2 Q0 w) [( e/ E9 {/ {! o
%d:距离矩阵
1 c" Y8 v q5 E" ? k3 C: }% ^%termops:种群代数5 e+ p2 C1 @6 P
%num:每代染色体的个数) M' R3 m3 p0 O: M& f8 V
%pc:交叉概率2 N6 e+ I8 R7 w9 O
%cxops:由于本程序采用单点交叉,交叉点的设置在本程序中没有很好的解决,所以本文了采用定点,即第cxops,可以随机产生。
& T6 r1 Q- U& b& } D%pm:变异概率+ {, [6 n$ M! ^' e- G; D3 w
%alpha:评价函数eval(vi)=alpha*(1-alpha).^(i-1).2 O" S. @* ~6 r, O* ]( q1 o
%bestpop:返回的最优种群0 @' T* q. i0 t; D! w6 i0 i
%trace:进化轨迹) N# t/ W4 s/ O. z; z i
%------------------------------------------------
+ z( P* q- P- n, H) f) T6 @%####@@@##版权所有!欢迎广大网友改正,改进!##@@@####0 u: D( F$ s4 _- u9 H% y
%e-mail:tobysidney33@sohu.com
5 C, J4 Y, w9 e- W! L/ R$ K%#################################################### L1 v9 q+ E+ }0 M0 c& c
%% b6 H, e6 t7 L" \
citynum=size(d,2);; k- Q y: W& l
n=nargin;
. ^: ]' B. V) S9 s" R" Uif n<2
3 z* o/ Q, _- G2 ?disp('缺少变量!!')( u5 O" J/ G4 h# \
disp('^_^开个玩笑^_^')
# J& n7 I" l: l4 iend
! G( r* k e; F/ ^, Aif n<28 z3 h/ i. u) s$ `' [; B7 N. C2 v
termops=500;8 G1 |" a# k) @' [8 a1 J$ D% b
num=50;
; u# B2 q7 Z7 ]( Z2 g: l; Apc=0.25;# [/ j( m* k3 d) \ q
cxops=3;
# B# |+ X1 O6 l! apm=0.30;
& f0 j6 W6 y+ H2 } \4 `3 Salpha=0.10;( t4 M7 v- N# m& b- p1 y
end
. s, Y; `8 p4 b- i @' O' U0 p$ Mif n<3' \7 ]6 U* w9 N5 ~! S
num=50;
% X, x) x7 H# w |3 mpc=0.25;
) I. x/ ^0 ^! F3 _( fcxops=3;
8 P1 r( b! u" x. ~1 X) hpm=0.30;
& X- M8 D( ~" B+ A- l9 zalpha=0.10;9 v- Z5 p. N* C( @; p& A7 y2 K
end
/ T$ \! J$ @5 |8 y* i; G. Yif n<4' M. L0 p& h: P, y9 [3 s
pc=0.25;
( v% Z; L( D& B& ]8 Kcxops=3;
7 Y6 O+ H( `+ W2 P7 spm=0.30;
/ a4 ?* i+ }7 A% m3 Y/ Zalpha=0.10;* d Y) e8 h$ Q( J% b* e( z
end; A: c- C/ ~& T
if n<5
t7 D1 J* k9 ~3 l4 X5 h9 d9 i# f5 wcxops=3;6 ]9 v0 f7 L/ w! S0 p
pm=0.30;$ o1 j9 ?$ _' `- A2 G9 r( x
alpha=0.10;4 q* ~# h% m! a8 X
end6 r" v# `. J A" r
if n<6
& y6 w1 j+ k/ |! ?pm=0.30;
3 z( u6 z+ o* e: { D8 Balpha=0.10;. H6 s( h% W" w) r8 p. m
end
7 i4 t" n2 p9 c0 Iif n<7! ?6 X% ?, }0 @* G! Q# ?+ R
alpha=0.10;
2 F& [/ c0 Y* d# E/ ]- |; {0 R1 C9 rend/ }* F- m6 ^9 Q8 z+ R2 i8 Z
if isempty(cxops)/ W4 S( M( b6 V; |5 v
cxops=3;; \& H( X) [ Z* Y
end</P>
, q7 q! n: @+ p' G2 D< >[t]=initializega(num,citynum);) u4 ^' f( P4 l9 d9 a" ?3 m2 [
for i=1:termops
& f! d, N$ M# M N& ~; u2 x[l]=f(d,t);7 {* ?4 m/ j3 Z6 N3 x& A
[x,y]=find(l==max(l));
, o t4 P' r( W2 [, g. u6 a5 Rtrace(i)=-l(y(1));
* U! m2 E% Y! }* W; i' Z" qbestpop=t(y(1), ;7 U# D+ L# \) i' X7 A, e4 o
[t]=select(t,l,alpha);
- j+ Y0 H( G9 f; u! C! F: }1 I[g]=grefenstette(t);4 V3 D) w4 N8 U7 M
[g1]=crossover(g,pc,cxops);
9 ~( [! {7 ^3 d; o$ g[g]=mutation(g1,pm); %均匀变异8 M9 c9 P0 H! {# S
[t]=congrefenstette(g);% @ d: F3 @; A9 N
end</P>" G0 k; P' ~9 N: V# @6 a) i
< >---------------------------------------------------------
0 G7 e2 B- m$ q6 `function [t]=initializega(num,citynum)
' P" F1 o2 P7 e. ~& Tfor i=1:num
0 k- b( p8 e) }9 D% x/ Dt(i, =randperm(citynum);5 o2 D P; Z' H( m# A* d
end* H8 a, F( T* Z! V1 i4 e
-----------------------------------------------------------
) D' r S! p/ V: ufunction [l]=f(d,t)5 M: H7 a; C5 n7 ^0 E9 s
[m,n]=size(t);
0 N4 `6 q4 K g. ufor k=1:m M- D, H% w3 j$ w9 k, p5 Q5 R6 u
for i=1:n-1
/ H" @3 }9 p2 h+ u5 W7 g" pl(k,i)=d(t(k,i),t(k,i+1));
7 R& ~# W. H2 I9 R0 Pend+ b3 c* t* V! X8 f6 b
l(k,n)=d(t(k,n),t(k,1));$ Q) @( y0 b6 }5 V( ~4 ^7 X
l(k)=-sum(l(k, );
, _: b+ Z( U- X' t7 w& H# j* t* Z7 @end/ t1 h+ P+ N7 F( K& x
-----------------------------------------------------------
8 v1 g# \9 }1 r" b/ C' z- d7 wfunction [t]=select(t,l,alpha)8 D! z, Q: H" d
[m,n]=size(l);
4 l* ^$ M2 X) n* L+ st1=t;: ?( h+ N8 }: X B1 x6 y# F
[beforesort,aftersort1]=sort(l,2);%fsort from l to u
9 {" s' }" i5 R$ @* ?; x" Gfor i=1:n0 Z1 N0 `. ?! |( C+ C' ~5 [
aftersort(i)=aftersort1(n+1-i); %change
+ o: i! j/ b4 N j aend
' W/ F4 W6 o9 F: ]4 Qfor k=1:n;7 b( {. i# x) B
t(k, =t1(aftersort(k), ;
3 x6 Z: E" @ x+ \( h% Vl1(k)=l(aftersort(k));
9 D, N, M. L4 r3 A) Q$ ]end
$ L! U# N7 ~7 d1 Bt1=t;
1 W/ D7 y) Z. G/ n/ Fl=l1;
4 F0 z9 |" z7 O# [$ W3 y$ G8 tfor i=1:size(aftersort,2)
& @2 }) M4 T- g2 s; {, V9 wevalv(i)=alpha*(1-alpha).^(i-1); z/ F" |2 i$ a& g4 R) {3 m
end
6 Z/ d0 U# E8 r) b1 \7 S- J0 cm=size(t,1);
! ?; o8 L L+ i2 @2 L( P; jq=cumsum(evalv);- g! _% [ x: u: d. ?" k, J- y3 P) s% s
qmax=max(q);. j% M1 o/ Z0 H) v
for k=1:m# V$ A5 R1 {( m' e- H9 p) ?! [) d
r=qmax*rand(1);
+ Y5 e% o; Y, ~, B9 i8 F4 `) F# Jfor j=1:m; G7 H6 Q4 Q3 G C8 b7 ~$ u
if j==1&r<=q(1)% \' G, h% e3 I, T0 ~
t(k, =t1(1, ;& H K$ F$ w! {6 o! N$ @4 k/ C
elseif j~=1&r>q(j-1)&r<=q(j)
4 H+ |, P& K& Y. ?. L: _+ N$ C1 Tt(k, =t1(j, ;
; ~5 i% n; g% c# d+ Qend
: b) H4 h1 ^/ ~' G! {2 c8 k7 }end
5 P: I0 c ?7 i7 Y7 }% t2 G/ qend9 p1 f* P3 }5 T) S
--------------------------------------------------! o Y# _- B% v9 {
function [g]=grefenstette(t)
; g7 ]. F+ X! a! e. ~[m,n]=size(t);) s8 g/ Q8 Z H' Z4 Q! u0 h
for k=1:m$ A+ ]3 Y$ H1 \5 u5 }; o( o3 t
t0=1:n;) q9 P" k- n: q, J
for i=1:n+ b& [( s! @6 l2 e' r8 k
for j=1:length(t0)4 c2 D3 u" ? ]& O
if t(k,i)==t0(j), G3 P8 v' e- ?5 u
g(k,i)=j;9 V! {: A* }3 \$ F9 P6 A* Q: Z
t0(j)=[];
# @: ?7 Z! e$ ^7 R4 abreak+ x: `+ {( ?" Z
end
( U; s6 o( E; Aend
6 T5 w3 x. u F8 Oend
2 v0 y8 t% a' f$ p3 X7 c. qend
8 Q; p3 T) X, Z: }-------------------------------------------
) ^1 \2 Z% h+ C9 a, W" b+ Wfunction [g]=crossover(g,pc,cxops): A# i3 N2 n: I: G* Z8 Y
[m,n]=size(g);
9 I( Q0 e' L( t7 i& a/ O0 j: oran=rand(1,m);1 c2 P8 X- {4 W4 U
r=cxops;
% Y% L U7 S A8 q4 Y1 I7 W[x,ru]=find(ran<pc);0 @. i) L# ?; Y9 f
if ru>=2
) Y7 P; F0 D4 T2 g% Ofor k=1:2:length(ru)-16 u& x6 h- ^# z9 u& z
g1(ru(k), =[g(ru(k),[1:r]),g(ru(k+1),[(r+1):n])];
8 V4 G( S9 c6 w% @g(ru(k+1), =[g(ru(k+1),[1:r]),g(ru(k),[(r+1):n])];8 {: `( B7 f' j0 L( B$ |8 A7 @
g(ru(k), =g1(ru(k), ;
; O6 M; y: Q0 Send2 x3 ?2 R% k" K6 I3 z: S7 W
end& S# { G- v3 o- \5 ^ o7 p
--------------------------------------------
% {* j- {+ Z7 _ N! v4 Tfunction [g]=mutation(g,pm) %均匀变异
9 u; L+ K6 L& e# N[m,n]=size(g); p6 E8 a. I' L E/ h/ d
ran=rand(1,m);
6 Y, Q% }4 r5 c( L. Or=rand(1,3); %dai gai jin7 [6 `0 C) Q' U2 O3 T( j; `" _
rr=floor(n*rand(1,3)+1);
* ~/ W0 L: C% }[x,mu]=find(ran<pm); T+ h' P7 d* {9 k: k
for k=1:length(mu)
" _ B: c% D1 k' lfor i=1:length(r)5 E: ~/ M. j) N; v. @+ W7 w
umax(i)=n+1-rr(i);$ ^, J5 `5 V1 S2 ?
umin(i)=1;5 [+ I" p, b) u( B7 N1 Z1 Z+ {
g(mu(k),rr(i))=umin(i)+floor((umax(i)-umin(i))*r(i));
, Q3 ]* I" @' Q! Oend) [) x& a' v6 U3 N
end
$ M/ J% v+ H. H: ?( ^( M- Z$ b; y---------------------------------------------------
4 y; d0 `, m. f3 t7 Kfunction [t]=congrefenstette(g)
. A, I& Y y) v! N5 ][m,n]=size(g);
/ ?4 H3 C x$ f7 v$ g1 z3 k4 hfor k=1:m
. _' J% y* _! m; ^/ Pt0=1:n;
# U8 M: \7 w1 O$ W6 A& L' efor i=1:n; Q1 ]' I/ c/ N7 J) B8 i( L3 C
t(k,i)=t0(g(k,i));
: q$ I- u6 Y3 L3 K4 jt0(g(k,i))=[];
0 o: G) o; w7 ?; Cend
1 a+ P- O/ n$ j! j0 m0 o. J" Xend
! v) ^) H8 ]0 g0 O* O- D------------------------------------------------- </P></DIV>2 u; ~4 V( O, s) s/ u
< >又一个Matlab程序,其中交叉算法采用的是由Goldberg和Lingle于1985年提出的PMX(部分匹配交叉),淘汰保护指数alpha是我自己设计的,起到了加速优胜劣汰的作用。</P>
# R" [5 ]6 ]; j v<DIV class=HtmlCode>3 q1 f% X6 ?0 _$ T, s7 w
< >%TSP问题(又名:旅行商问题,货郎担问题)遗传算法通用matlab程序
2 t! o. d+ Y0 \4 ^/ R) E%D是距离矩阵,n为种群个数,建议取为城市个数的1~2倍,
F" d5 C! U! V0 j%C为停止代数,遗传到第 C代时程序停止,C的具体取值视问题的规模和耗费的时间而定3 U8 [ s5 \% m) R$ M/ ^
%m为适应值归一化淘汰加速指数 ,最好取为1,2,3,4 ,不宜太大
, D; q! s {5 o3 E8 p. A6 W%alpha为淘汰保护指数,可取为0~1之间任意小数,取1时关闭保护功能,最好取为0.8~1.0
; o: a' y: U% q, E! f+ d; T4 n%R为最短路径,Rlength为路径长度3 R1 Z, o' _% I& d8 s9 k
function [R,Rlength]=geneticTSP(D,n,C,m,alpha)</P>) W) ~; F0 g. I k0 ]. d
< >[N,NN]=size(D);- @' T5 O9 w+ M/ [" W) `2 }
farm=zeros(n,N);%用于存储种群# O6 D3 r4 n9 B. g) A5 O9 R. T
for i=1:n# U) c; {' v! z
farm(i, =randperm(N);%随机生成初始种群. q4 `! O& c* M8 w. Y% B
end
" `* {# y: J, NR=farm(1, ;%存储最优种群/ X3 C7 T6 M, O: x
len=zeros(n,1);%存储路径长度
# v/ |; o& d& r& l! ] \fitness=zeros(n,1);%存储归一化适应值
' u3 X+ `/ ^0 K+ h/ kcounter=0;</P>
9 p) ~8 W- l U< >while counter<C</P>
8 U6 A5 e, D$ r: }7 H< >for i=1:n
3 u" o4 z! E0 L/ B/ ^9 m Vlen(i,1)=myLength(D,farm(i, );%计算路径长度
. {( M) U2 a* `; u9 R/ d5 ?( kend1 D& `) X8 C9 A0 k
maxlen=max(len);
; c8 E+ d0 j/ j8 Z& q) s1 l" F" Fminlen=min(len);! A, Y# ~" @/ A
fitness=fit(len,m,maxlen,minlen);%计算归一化适应值! r( [2 f/ v3 P* \: {% p, z' C
rr=find(len==minlen);
; A( }) M( j8 T8 @; ?: UR=farm(rr(1,1), ;%更新最短路径</P>
, w6 ]# g3 ]4 m5 u; }; m8 j< >FARM=farm;%优胜劣汰,nn记录了复制的个数" P j7 R5 b; `* A
nn=0;4 I" Z) l! h8 E. h1 W
for i=1:n7 C5 `* e+ m o8 P* k; K
if fitness(i,1)>=alpha*rand
8 u) U$ Z/ Z/ y- [nn=nn+1;; w) z# R! V( [" o
FARM(nn, =farm(i, ;
* }' N8 K- B5 ~5 {4 [end# S2 f; R8 Y& ^" c- e
end
1 _' }6 H e K% NFARM=FARM(1:nn, ;</P>
6 C% ~( e8 z2 c& [# P# h< >[aa,bb]=size(FARM);%交叉和变异
; ?( c. I& f b8 x& K' |while aa<n. [6 p( R' m- P# E3 s3 ^
if nn<=27 H4 K; O: p& v6 v0 A5 O
nnper=randperm(2);( U1 R6 P# N( d! M/ h2 T. _0 C4 I- p
else: P" N" t$ i9 i5 R* K
nnper=randperm(nn);
9 y9 J: @" w; U; X8 F9 }: Send
; R) u( b" F1 o# A# k( wA=FARM(nnper(1), ;" D+ [; C( H/ `5 ?) C1 N: V
B=FARM(nnper(2), ;
3 a& U6 t- M6 s2 h[A,B]=intercross(A,B);+ k! g; j! Z& `, j! ~/ E& s
FARM=[FARM;A;B];/ g! M; c' ]" z4 s2 [1 O5 W; B: r+ K
[aa,bb]=size(FARM);' ?& a* \; Q; o3 |5 y; ?, S
end
& r2 Z* o8 U1 N$ Lif aa>n
0 r' q# A/ ? r" l+ S* bFARM=FARM(1:n, ;%保持种群规模为n
2 G3 d! ]2 n% t: Uend</P>
& O( U% i1 _" j9 H2 R2 b4 ^% K< >farm=FARM;
. M! p. t# ]& S3 g/ T2 U: lclear FARM
# k" @( y! @, y0 Y' W8 p( L! lcounter=counter+1</P>
% T$ t# @3 ]; E6 u' F/ V( I< >end</P>" a. |. C8 D9 p2 m) r* D
< >Rlength=myLength(D,R);</P>* D. y, J8 N5 e
< >function [a,b]=intercross(a,b)1 a; w! R) e& D6 U# Q3 E
L=length(a);& Q/ u- v* u! J% B
if L<=10%确定交叉宽度
& `! ~+ `' n- v2 m. j. sW=1;
# z- E$ v: S0 I/ B) B+ s$ Nelseif ((L/10)-floor(L/10))>=rand&&L>10
( n8 A- m K) f5 j# iW=ceil(L/10);
7 D1 U: `! r9 d2 Ielse
, l1 \/ Y+ P9 C1 L- J1 n$ \6 jW=floor(L/10);5 `) N7 X1 W& c. k2 K5 B
end
6 @ m, a+ R U- O Bp=unidrnd(L-W+1);%随机选择交叉范围,从p到p+W8 ?7 V. E8 u; M9 E. Y3 U m, f
for i=1:W%交叉 n; B8 K2 h8 U) ~7 [5 S# i3 B
x=find(a==b(1,p+i-1));
) e! e7 O: c2 ly=find(b==a(1,p+i-1));9 n6 w; Q7 @$ G& h7 C
[a(1,p+i-1),b(1,p+i-1)]=exchange(a(1,p+i-1),b(1,p+i-1));; Q: ^% A% n7 R1 f# E
[a(1,x),b(1,y)]=exchange(a(1,x),b(1,y));
7 k. P/ X7 {7 r6 h+ p, Cend b7 T+ m' H. ^: h" U3 f
function [x,y]=exchange(x,y)5 q2 i* ^1 X1 u% Q7 \
temp=x;
/ t; h0 z6 u) u. z* _x=y; l0 Y5 y/ f1 E5 W2 i$ d: [
y=temp;</P>
' ?( n8 m l5 t$ }< >% 计算路径的子程序
9 |; p, E8 w! s& R) F# jfunction len=myLength(D,p)2 n/ l5 U9 {. |# m4 H, h
[N,NN]=size(D);
- N8 | ~" b- @len=D(p(1,N),p(1,1));
8 p& p" n' K# ~% e. ofor i=1 N-1)
! r9 U; l7 C! {/ [& G0 Dlen=len+D(p(1,i),p(1,i+1));
% t3 t* M7 L, @5 p( R. tend</P>$ n+ h9 d7 w3 G7 J
< >%计算归一化适应值子程序& e& \& I7 n# O6 {9 h
function fitness=fit(len,m,maxlen,minlen)3 `. H& u e7 w% U+ O
fitness=len;( q& [& o5 Q$ r9 n5 k- C( s& }7 ]
for i=1:length(len)
7 a/ ]4 K% q0 L; m$ [" f; [6 j8 a' }7 Ofitness(i,1)=(1-((len(i,1)-minlen)/(maxlen-minlen+0.000001))).^m;
) h5 h% q" Z* n2 g! Wend </P></DIV>
O. V( ?1 V- F* k< >一个C++的程序:</P>
; W$ k4 \/ X7 r& C5 U- O+ q! n<DIV class=HtmlCode>
8 b7 Z( f/ H+ y, e. D< >//c++的程序1 o* f) _8 ` ~- }. G. O$ G, n; g
#include<iostream.h>
7 }/ U+ A1 b9 k" u#include<stdlib.h>
, c7 a% y* l3 d- j$ o- Etemplate<class T>; \/ g8 w/ P+ b5 O
class Graph4 z! l Q4 H" y2 g1 q ? M
{7 ]. ]; }) d: f1 A% K$ Q
public:% {; R+ b. C0 `+ U
Graph(int vertices=10)
% ~% q Z& o3 u& t/ ^; } {
% ^+ q* W* j" d9 x3 s n=vertices;
% {" x9 P) t: l# b# k. z H e=0;
8 }+ p8 D+ `* u! p, {9 Q+ I }* X; F9 U" k( l
~Graph(){}! T2 H- e8 b+ o" v
virtual bool Add(int u,int v,const T& w)=0;
: P) P0 m& X' ~/ a7 j virtual bool Delete(int u,int v)=0;
$ M7 }$ X+ `/ V# X" T0 u, P virtual bool Exist(int u,int v)const=0;% ?6 q {$ Y9 a4 F( M/ K
int Vertices()const{return n;}
" T5 K9 ]2 y+ o: ?/ }& s2 a+ N0 ]0 k int Edges()const{return e;}& `& i/ D- X5 `; p! a; G
protected:+ @% ?! O! i* L; F+ ]1 f/ W7 b
int n;; U* D4 \/ u# ~5 T" j; h
int e;( v- z" @4 \# u# E3 r. P
};
2 i7 \: X g/ ^) P1 rtemplate<class T>
* k! `4 m! I" Z/ j4 M! Z4 zclass MGraph:public Graph<T>' r# t* O$ h. O) B2 q" }( t* h
{
6 w: J# k/ i! A0 h" E public:! [; T; c w. S2 m, y
MGraph(int Vertices=10,T noEdge=0);' W+ @9 H! _. ]$ y% }# q1 K7 F, n
~MGraph();
' ?1 B$ A# M+ s* p8 z5 \3 A5 x5 U bool Add(int u,int v,const T& w);$ C( w1 i7 B @5 D( L$ ?
bool Delete(int u,int v);. v0 N; e6 ]4 S
bool Exist(int u,int v)const;
5 o; \; l. c, V b4 G4 t void Floyd(T**& d,int**& path);
+ A- |4 }) P! N2 S, U void print(int Vertices);( A6 j% a, c E, m
private:' {: b# I1 r" `( R
T NoEdge;6 @. {9 z: R) ?8 O; Y8 @
T** a;
F$ s) m6 v: E/ E% _% ^9 t, v/ i};
0 o( R! I2 ~3 b. d% m" F u4 [$ A/ otemplate<class T>' Z, X8 d9 S2 p* O! W
MGraph<T>::MGraph(int Vertices,T noEdge)
; | k" h3 r7 X" K) B' }{
+ _ e4 _3 y! V$ { p. V n=Vertices;
2 F0 f I. f6 L NoEdge=noEdge;
4 ^8 X/ E$ c7 C" C+ _4 z# L7 ]) p a=new T* [n];
x6 L5 S, X; m7 u, C2 a for(int i=0;i<n;i++){
P: K& N( c8 X& d8 C7 _$ k7 B a=new T[n];' c6 g2 l3 f5 e w. o" z
a=0;. M9 t( s6 }6 ?
for(int j=0;j<n;j++)if(i!=j)a[j]=NoEdge;
/ U4 s- G5 | J' P; {5 N8 a/ Y }2 i+ E* e @2 j7 \" K1 h! O
}
# j# y) r+ ~- \8 w5 n$ Qtemplate<class T>- I8 ^3 j, S$ H4 ?1 V* R2 J- N9 ~
MGraph<T>::~MGraph()
, d5 ^5 }' J! a) [7 c6 g& n{
# K u5 {3 d$ r+ K5 T; p for(int i=0;i<n;i++)delete[]a;
, w5 J8 ^/ x3 K$ y! E* `/ |9 [ delete[]a;- b( _# K8 ~( D* k
} ^, ~& x& w+ L' f4 D3 l/ I+ u
template<class T>
# C6 v# [' G q; T/ W5 ibool MGraph<T>::Exist(int u,int v)const
5 c1 [& _$ E6 z1 x{
& f+ ]3 U* G* ~; Q5 p4 Q& |0 Q if(u<0||v<0||u>n-1||v>n-1||u==v||a[v]==NoEdge)return false;
! b5 ~- | q$ Q/ ^2 l9 f, W return true;: }6 K1 I9 {3 r
}
$ Q, G2 I# [0 \! s& Atemplate<class T>! O2 q0 x, N$ o W6 u# l
bool MGraph<T>::Add(int u,int v,const T& w)$ C, H9 i4 C2 e" j, V" }$ w
{8 J3 w! F2 _+ N5 h4 `- x( X5 Y
if(u<0||v<0||u>n-1||v>n-1||u==v||a[v]!=NoEdge){) W& h) ^ j5 R* V' U* E2 W) Y; L
cerr<<"BadInput!"<<endl;) K" C& A. A2 h
return false;6 T. } y: u% Y/ B4 D& p; H
}
e: `0 ]. X% s. E& i7 t! i a[v]=w;* [0 q$ x# y+ _$ m5 d
e++;. e& X# Y) W5 W+ F4 |& p/ V
return true;
6 J t2 W$ G# G- v5 Z! I! \/ w+ m# f}2 i0 }3 g2 }3 J( Z- K4 R) y k
template<class T>: i3 }0 ]9 P: s# k
bool MGraph<T>:delete(int u,int v)" o; ]- r- w$ E [; T
{
4 e3 v' w' x7 O if(u<0||v<0||u>n-1||v>n-1||u==v||a[v]==NoEdge){. D' t! p; D$ h* T
cerr<<"BadInput!"<<endl;* W/ t1 }9 v7 y' X8 x& ?/ E0 w! o
return false;7 N1 ~5 W: ^* M4 Z7 `8 H4 j- Z [
}
( Z2 N2 o; `" [6 V; x a[v]=NoEdge;1 j$ o3 w# e# ]* Y- u, t, H4 x+ l" |
e--;" o8 L: B2 b$ _$ i4 F" Q7 W
return true;
, C, C$ d# P$ ]6 X}' z( R# T* H K/ R8 k$ Z
template<class T>0 ?+ f& h0 q |, m5 s
void MGraph<T>::Floyd(T**& d,int**& path)9 W. U6 r% q5 v
{" {9 b0 @- C4 q! q) ^+ D
d=new T* [n];
* f% f6 h' L) X path=new int* [n];
. s& w- |& k+ u6 @ for(int i=0;i<n;i++){
) J4 }7 B; c9 J d=new T[n];! r9 _8 V( [% v8 b( A
path=new int[n];, f. p+ z" i! F0 u0 I0 a
for(int j=0;j<n;j++){9 K$ \: y. O) f, n$ H" b
d[j]=a[j];" ~+ Q' |$ |2 I+ Z3 X9 _$ f) d
if(i!=j&&a[j]<NoEdge)path[j]=i;
, {* \6 P: x4 J else path[j]=-1;
" J+ J7 F* h! ^# _( Z: C' F; | }3 H9 E/ X( R6 B( [
}
9 |1 i# O4 R2 a for(int k=0;k<n;k++){
2 y: P: M, \0 b/ |, ^ for(i=0;i<n;i++)6 K% L, {' c7 }% A3 Z( O( Q
for(int j=0;j<n;j++)5 i+ F0 r8 H6 V3 a
if(d[k]+d[k][j]<d[j]){ X, S6 i' _3 `9 t7 Z' B- O
d[j]=d[k]+d[k][j];
( k) } j" s2 V2 b path[j]=path[k][j];
* C2 x; D" e: e: Y- N& W }. `5 y, P0 X. D4 X8 h
}3 e% q4 B/ ]+ i2 N
}: D4 ]% O/ k& o9 X0 i. ^
template<class T>
: s( \& Y/ o k% `1 e' q0 xvoid MGraph<T>::print(int Vertices)
1 [6 P. w3 y% ~' Z1 X7 G& n{1 z0 p' I, O; K4 B
for(int i=0;i<Vertices;i++). {" \8 `& o, ]# T y
for(int j=0;j<Vertices;j++)
6 d6 W1 Z2 l9 f- h" j3 ]4 O {7 B/ }1 l" V6 K$ m4 f
- v4 Z) \ u7 F0 J* B- N- n9 S
cout<<a[j]<<' ';if(j==Vertices-1)cout<<endl;6 M2 w9 ?( {, W: G* C
}- Q7 d8 W1 B; M g9 X8 J
}" c) [' r* z7 i, |0 `
#define noEdge 10000# @) T7 U3 j7 y8 u
#include<iostream.h>
* s; M# {5 r) q$ b- {void main()
7 \/ F+ j* A% o' n& f{
. ~% k# @' L2 Z, j* k7 k6 F cout<<"请输入该图的节点数:"<<endl;6 j$ }! K' [7 d$ L: S
int vertices;3 j& o& L- Q D! o8 H* J
cin>>vertices;
' d% u0 V$ c" O+ w MGraph<float> b(vertices,noEdge);
: N% g9 g% V6 |3 [' g7 y7 \1 z cout<<"请输入u,v,w:"<<endl;
) A' ], }& p+ t9 i int u,v;; V1 Y3 \8 b+ s" w
float w;
4 g" G) F! ~4 r0 e% Y8 ~3 Q cin>>u>>v>>w;$ L! q& N/ f' h8 u* S
while(w!=noEdge){6 s. R% h* G4 @ t# g
//u=u-1;
! \$ f8 K- ~1 R( b6 S, o b.Add(u-1,v-1,w);
% \" {. C4 T) D) R# S& x b.Add(v-1,u-1,w);
/ V2 L+ H. \/ c; L; X( b cout<<"请输入u,v,w:"<<endl;
5 S: y; K* k/ R cin>>u>>v>>w;8 c0 g r1 ~! r$ ^. I. p
}# g {- l+ R5 {7 u2 @
b.print(vertices);
! ]! V* _4 V9 j4 ? U! P int** Path;& f1 s' e: V0 @, |5 F3 H
int**& path=Path;
" b$ l# ^, w8 K8 G* x7 ^1 b float** D;
1 M M5 C$ _# A! H- N5 w2 s float**& d=D;
1 e* j' f" _& K/ @0 {) K) x b.Floyd(d,path);7 M. R4 {- G7 z6 {1 ?5 v1 G7 L
for(int i=0;i<vertices;i++){3 F' z" ^* _5 g, N
for(int j=0;j<vertices;j++){2 L3 S/ Q5 @+ _6 H0 V% _6 v# D* r
cout<< ath[j]<<' ';: a# a7 R5 W* c6 x/ J/ [) \8 ~2 {
if(j==vertices-1)cout<<endl;
8 q8 h- ?2 q' ^( V- u }
4 R5 t1 T7 h& l. v9 X }" m* B/ j- s& e! A# V% j4 Z
int *V;
" u. t! e3 k3 n' K F( g V=new int[vertices+1];/ p% U; q! ?2 N! S. A9 U6 b3 P
cout<<"请输入任意一个初始H-圈:"<<endl;/ N4 }; }& ?( B8 T. Z
for(int n=0;n<=vertices;n++){
2 m3 O1 h! N5 i1 I( J& @( p
8 e0 J" i) i, [4 o cin>>V[n];
8 p( V. {( z& l: C5 \ }5 o- _# o' ?9 ~3 s
for(n=0;n<55;n++){) G+ Y/ O) R/ v$ H1 b4 ?
for(i=0;i<n-1;i++){' J1 O" i3 r# ~- u# E: {
for(int j=0;j<n-1;j++)
3 {& t& n3 @2 w' f' U {8 I' ^- e6 K6 t
if(i+1>0&&j>i+1&&j<n-1){* W% K: l1 G( }# g7 f) P, L
if(D[V][V[j]]+D[V[i+1]][V[j+1]]<D[V][V[i+1]]+D[V[j]][V[j+1]]){
: W3 e [8 {! {, f: W9 W& b int l;
$ C- C5 f( h1 H9 k( M l=V[i+1];V[i+1]=V[j];V[j]=l;
. }) Y; o+ Z) j+ Q8 D k }& N4 \6 D- E- Y! i! t ~! n* z" A
}
' y; ]4 G/ f |7 k. _. i1 d }! [1 `2 ^2 _) u) p5 o. P
}
6 r3 s! y2 A3 H, \" R3 |6 y }- N1 i8 |" q5 P: J0 E
float total=0;9 Y; D; i1 o! @
cout<<"最小回路:"<<endl;$ e1 U0 z/ v( K. R1 i2 t) {+ H
for(i=0;i<=vertices;i++){) }5 ~ \- I# [( i' ]
c6 I" t3 w9 Q2 m' A8 F7 F cout<<V+1<<' ';5 C Q) q/ ?8 ]
}
1 m" E4 Z2 k! O7 A9 q* m cout<<endl;
4 I7 o, n, L6 J for(i=0;i<vertices;i++)/ p" X+ F% Q6 M
total+=D[V][V[i+1]];5 o) L2 m$ ~% l: n6 m
cout<<"最短路径长度:"<<endl;) A! A- Y. r6 Q: C ?" b @+ }! X8 E
cout<<total;
, m8 o3 R- V& e( i( ^} </P></DIV>
% B0 w5 F" l' z# ~$ j% X9 A< >C语言程序:</P>
' I1 C+ T5 H5 k3 r# P1 l0 a% t2 G/ m<DIV class=HtmlCode>
$ f& _& ~7 {$ t9 e< >#include<stdio.h>
2 e5 U0 Z1 j) ^% {: J) F% z#include<stdlib.h>
7 I) N: ?/ j" f3 C6 I( e) T#include<math.h>/ A7 e1 _, Q2 \# ~
#include<alloc.h>
6 L2 q5 {" `2 D0 [ w#include<conio.h>
$ T: D9 r& |1 W% ]' ~4 u#include<float.h>
+ q, H, W$ R+ x#include<time.h>7 S# G6 V% ?. `4 W' ]2 N
#include<graphics.h>* t6 ]0 m+ E8 c! V3 F% d; R
#include<bios.h></P>6 S; y& h' J: [$ d' B" M4 }& \$ M% |/ c
< >#define maxpop 100" s5 J6 ?, f M$ y9 z
#define maxstring 100</P>
* W3 \. N& E3 Z< >3 _. c' r- a$ n7 ]
struct pp{unsigned char chrom[maxstring]; Z4 r/ b% [3 R, r8 ~
float x,fitness;; x( ]' n5 P) e ]
unsigned int parent1,parent2,xsite;+ s2 g7 X0 B% K9 ^5 z1 @0 n3 k
};
# G. ?) L* w+ W* e3 u# W, tstruct pp *oldpop,*newpop,*p1;. Y" k) B2 T+ n, L" m" o% L/ D( d
unsigned int popsize,lchrom,gem,maxgen,co_min,jrand;/ q7 W# B$ H, t* \# V$ `
unsigned int nmutation,ncross,jcross,maxpp,minpp,maxxy;
4 X. Q/ P8 s1 a6 v( z7 ^float pcross,pmutation,sumfitness,avg,max,min,seed,maxold,oldrand[maxstring];/ ~+ i. i* {- f- v
unsigned char x[maxstring],y[maxstring];
/ j2 Y) U2 z1 M% {( k9 yfloat *dd,ff,maxdd,refpd,fm[201];
3 b, [3 S4 |* o+ v# ?% tFILE *fp,*fp1;$ z- \, z$ y( X" M
float objfunc(float);- x) H0 ^- S- h! i
void statistics();
' Y! f% W0 r: y6 D- F9 @1 K% Kint select();& i( L: t" ]7 E+ |6 L. _& @1 D/ W
int flip(float);
) ^7 f( k- ~' M0 n ~) x: eint crossover();
3 b1 l' H* W. A7 j/ m% e, _void generation();
! l4 L* `) J( c: i( a6 I: C4 Hvoid initialize();
5 D# ]1 k0 i" |5 }void report();+ M( x0 r4 [+ S# W y
float decode();
7 z( D/ Z% J5 m) @% r% U5 l/ Jvoid crtinit();3 `" \2 ?) L- O* U$ U2 f& H
void inversion();+ x( B; a0 y5 k& a8 a* `
float random1();, y# E" q. @4 z8 S; y* q6 K' \
void randomize1();</P>$ o0 ~6 D9 f1 P' o! X" j1 t
< >main()5 h$ F0 ^) P1 J6 C, d; l7 c5 T
{unsigned int gen,k,j,tt;# r2 f4 R. ]+ k" J$ N3 A
char fname[10];; ^4 H# I; H0 O. X9 ?
float ttt;
" _' i! \2 \9 Bclrscr();
" f$ n. ?. L# b1 pco_min=0;
+ j# q+ K/ l4 V6 b4 u2 sif((oldpop=(struct pp *)farmalloc(maxpop*sizeof(struct pp)))==NULL)3 a' X Y/ ~7 u: i1 I
{printf("memory requst fail!\n");exit(0);}0 M& V, ]4 `' b* w6 }
if((dd=(float *)farmalloc(maxstring*maxstring*sizeof(float)))==NULL)
! [. ^! L" I% @7 E& W* G {printf("memory requst fail!\n");exit(0);}& F3 B( Q5 V8 [$ ]5 U- Z* }7 c
if((newpop=(struct pp *)farmalloc(maxpop*sizeof(struct pp)))==NULL)7 W6 F7 P) Z+ b+ x0 I2 p; ?
{printf("memory requst fail!\n");exit(0);}
) \1 `$ b' O: zif((p1=(struct pp *)farmalloc(sizeof(struct pp)))==NULL)5 _! J9 ]2 y) }; H6 {6 S% U
{printf("memory requst fail!\n");exit(0);}" J1 ^( F8 \% w) L' z; D6 B+ F
for(k=0;k<maxpop;k++) oldpop[k].chrom[0]='\0';
- X8 q) u( w% j6 k8 o8 Gfor(k=0;k<maxpop;k++) newpop[k].chrom[0]='\0';/ P- c* j+ c0 T, ~
printf("Enter Result Data Filename:");
- {7 F! n `( Y3 S$ f, Ggets(fname);( ?& b% p, B! N
if((fp=fopen(fname,"w+"))==NULL)
/ O( ~" S. m. M& v2 }* I8 ^ {printf("cannot open file\n");exit(0);}</P>" A8 a/ T' K0 [8 E$ ^! X
< >
, Z( A1 H" R" B* D2 Zgen=0;! a2 o& w4 H& O7 [' _% \ @+ Q9 I
randomize();
2 u1 |2 i% T6 O4 B" L' d% Einitialize();</P>
- c7 c4 {7 o+ O4 v) |4 C! n< >fputs("this is result of the TSP problem:",fp);) ~! m5 A5 U4 \4 y8 T- }0 A: ^+ o
fprintf(fp,"city: %2d psize: %3d Ref.TSP_path: %f\n",lchrom,popsize,refpd);+ K6 t9 O' s" F: I
fprintf(fp," c: %f Pm: %f Seed: %f\n",pcross,pmutation,seed);2 i7 U$ P2 e9 c4 ?
fprintf(fp,"X site:\n");7 i7 L. `9 \0 W, U
for(k=0;k<lchrom;k++)
) J/ O$ |; L2 z8 ~ {if((k%16)==0) fprintf(fp,"\n");. V1 Y1 r0 Q8 t+ i6 p4 B# R
fprintf(fp,"%5d",x[k]); l' F- L! R* |2 i/ A# u
}0 ^% l: K3 k* L" c1 I- Q5 E- F
fprintf(fp,"\n Y site:\n");# a% t7 j1 Z0 _: B
for(k=0;k<lchrom;k++)8 d1 o, h$ @$ n3 x2 C3 h
{if((k%16)==0) fprintf(fp,"\n");
9 d. W6 {8 M/ Q1 S fprintf(fp,"%5d",y[k]);# ]0 h; K' I" x0 Z$ `( S( W
}
3 v) q4 u* `2 r! p Jfprintf(fp,"\n");</P>
( L: g& ^7 J8 t5 o( J/ A$ A<P>
4 @* _0 ?1 u; t' K! Q$ l4 Rcrtinit();' n0 f% h) b/ ~/ g" `* e( D& O
statistics(oldpop);
+ X) A7 N/ k u6 G( Breport(gen,oldpop);
! E2 A2 m2 d4 E' Wgetch();: t' J# o* Z7 w/ m$ Z1 ~5 o
maxold=min;6 o7 e, L8 o$ f% T9 v& W
fm[0]=100.0*oldpop[maxpp].x/ff;
4 o' q: e8 \5 R' n+ Pdo {5 O5 E$ k) N4 |
gen=gen+1;
; I% Q1 @$ f. l, P generation();/ E/ k7 y, r. Z
statistics(oldpop);
! h" m Z6 ^9 @ if(max>maxold)6 r( d/ m' f" ~% `! j0 W% b8 V
{maxold=max;0 }+ J# K- W2 e) U
co_min=0;
( |5 |7 Z. w) l F }+ S; B. H7 Q* Q* Q- _
fm[gen%200]=100.0*oldpop[maxpp].x/ff;* A. h8 E2 r4 E2 j
report(gen,oldpop);
$ H0 ~; k8 [8 S: `! E0 y gotoxy(30,25);% s; L: s: t* ^
ttt=clock()/18.2;2 z/ W/ B& m6 O9 G* d G; [
tt=ttt/60;
* I4 G3 k: d: |2 S/ D printf("Run Clock: %2d: %2d: %4.2f",tt/60,tt%60,ttt-tt*60.0);5 B T: m0 U2 X% }
printf("Min=%6.4f Nm:%d\n",min,co_min);' j- ?+ U7 G! M$ h- u2 B4 c
}while((gen<100)&&!bioskey(1));
2 Q/ f- i* j% c! Mprintf("\n gen= %d",gen);
! j% n, d: m# {8 P- X8 V) A- tdo{/ A9 V$ [" u7 }
gen=gen+1;. S8 n' C! l6 [- m' z
generation();
: I* j& o1 f+ L, t0 K! u statistics(oldpop);- a9 }" Q& ^: n
if(max>maxold)+ d, \" Z' O# i" J; [2 e
{maxold=max;
5 w' j% C$ B5 ]$ Eco_min=0;
& L( i" i7 k) G }* P) u4 p1 C, k- T
fm[gen%200]=100.0*oldpop[maxpp].x/ff;
8 P/ S9 d# u9 _( @) z; _) R9 i+ b report(gen,oldpop);0 B ]" e$ @: s8 u% Z
if((gen%100)==0)report(gen,oldpop);
" g- F3 p+ [$ u* i8 q+ c1 x gotoxy(30,25);* r4 U1 `# j8 t! C+ x6 R
ttt=clock()/18.2;
5 Y+ ]1 g# ]2 Q/ t6 q% b6 M4 U0 [ tt=ttt/60;( ]; u1 g$ L3 S: l2 A% @
printf("Run Clock: %2d: %2d: %4.2f",tt/60,tt%60,ttt-tt*60.0);
7 _) {$ H$ M. u4 R5 A* R printf("Min=%6.4f Nm:%d\n",min,co_min);% w7 B O' l+ h5 t2 U6 w% @, C4 _- f
}while((gen<maxgen)&&!bioskey(1));</P>
; i' B8 h2 H/ }2 ]1 g9 `<P>getch();
4 |2 v# _: Z$ F! X9 Pfor(k=0;k<lchrom;k++)
3 O9 X$ y' y& Q3 z {if((k%16)==0)fprintf(fp,"\n");
5 o7 d% a: N: L fprintf(fp,"%5d",oldpop[maxpp].chrom[k]);
; _- f7 W. O& o3 G& n9 m }" p8 q8 L" R3 S/ J- g% ~/ U6 M S
fprintf(fp,"\n");</P>* `( b5 @' i5 N8 R1 k+ ^. r
<P>fclose(fp);+ D/ H9 _* m$ I& H& Z+ D1 p+ y
farfree(dd);
% w/ s+ W% G3 v$ k: h3 `; L- j% afarfree(p1);
, g' c" ]! M0 O4 Tfarfree(oldpop);
2 @% G, T& C, Q# sfarfree(newpop);
2 h" f, e0 e6 y1 X" Grestorecrtmode();4 S, \ e8 m. J4 |9 Y- U3 S4 S# y
exit(0);% g, [2 k! {; d% n$ v
}</P># d/ F$ d9 n t) I' F& g+ ^9 w4 D
<P>/*%%%%%%%%%%%%%%%%*/</P>
$ e5 o7 Q" b. Z; }8 j* e0 j) k<P>float objfunc(float x1)" F _( Y8 d0 o' l& Y, n5 r% s1 u
{float y;: T, v- F" b4 b9 S. m5 j
y=100.0*ff/x1;* A4 L0 l, e; F3 K) v
return y;
" N' |/ _: ]7 }) s, G+ m }</P>
, _6 v+ ?& n: L( n2 k<P>/*&&&&&&&&&&&&&&&&&&&*/</P>) z% l3 n3 E* ~4 U* B0 u- p
<P>void statistics(pop)
/ F" {9 T6 v) k% J6 Astruct pp *pop;9 Y, \' I& t6 \- S% _. r! ?4 ]
{int j;
1 G8 f0 B5 k0 Asumfitness=pop[0].fitness;; {7 S9 r3 ^: P" G
min=pop[0].fitness;) C& a; b( B2 f. P* J. B3 ^
max=pop[0].fitness;8 X% K, D- f, j/ J; E) g
maxpp=0;+ h4 M; L: K4 j( w0 x2 T
minpp=0;
4 m7 s5 w! _4 R) ifor(j=1;j<popsize;j++)
1 t" U$ }0 K: m! H% _/ o {sumfitness=sumfitness+pop[j].fitness;! N4 R' {# c; K0 @) \* [4 e
if(pop[j].fitness>max)
6 ~* p% K9 ?7 _! v# h) m* E$ p2 {{max=pop[j].fitness;6 p, w% Z# A5 u. d
maxpp=j;& W( ~- M! B2 v1 _: ]
} ~1 | I' @2 m7 f; U! o# y$ b3 \0 L
if(pop[j].fitness<min)
) X1 A( F6 i1 x. g4 q& l8 I& t{min=pop[j].fitness;
0 J3 u8 K7 W; X {, j minpp=j;* Y2 Y1 w% P7 F: J5 q- G
}8 f, Z4 }/ t3 J% a/ y* A! s& t
}</P>
( p, Y3 I3 b- @3 M% ?7 u<P>avg=sumfitness/(float)popsize;
* b, E. ]+ D& N) w- h% I}</P> u: b4 Y" G8 Y( x s/ J
<P>/*%%%%%%%%%%%%%%%%%%%%*/</P>/ { t: C+ c% f7 L& I" A
<P>void generation(): U- u/ w. `7 b
{unsigned int k,j,j1,j2,i1,i2,mate1,mate2; m$ l0 M4 n" g; X! a6 t! ` {* I
float f1,f2;+ u8 l3 N3 X! A% @& h& i# Y
j=0;
! U+ F. L! @0 ado{& l( |, f/ k% b' b# h0 v$ r& g$ o5 W* l
mate1=select();
+ a) w; G! O" d4 s# w pp:mate2=select();
$ P: g9 G) |' T! [1 o( L if(mate1==mate2)goto pp;
m8 V1 j. D$ _1 V( D" X crossover(oldpop[mate1].chrom,oldpop[mate2].chrom,j);
, I. a, \* R; ` newpop[j].x=(float)decode(newpop[j].chrom);
! }* _- j- K. M$ } newpop[j].fitness=objfunc(newpop[j].x);$ `2 p0 L W9 O/ l' l0 z. E- A+ x
newpop[j].parent1=mate1;
: c- \9 x) j7 J3 y2 d newpop[j].parent2=mate2;
1 K- Q5 V! P/ i( i/ D newpop[j].xsite=jcross;# L6 x, L* n/ \; |
newpop[j+1].x=(float)decode(newpop[j+1].chrom);
& P% d4 j' E( L8 b4 e; R" ~ newpop[j+1].fitness=objfunc(newpop[j+1].x);+ E9 l: N4 ~. F* A
newpop[j+1].parent1=mate1;
8 ?' B, y' k% m7 L newpop[j+1].parent2=mate2;
( X* q' m2 \9 d, q. f% p newpop[j+1].xsite=jcross;4 A: s/ {' S! \
if(newpop[j].fitness>min)
" I/ h7 ?; C0 @4 s/ ]{for(k=0;k<lchrom;k++)
0 T5 n- Z6 ?2 \; N* D oldpop[minpp].chrom[k]=newpop[j].chrom[k];4 ?6 u8 H( i7 `. D# [! s8 V b
oldpop[minpp].x=newpop[j].x;6 \8 Q1 m/ b' b. @" ^$ @3 l2 a
oldpop[minpp].fitness=newpop[j].fitness;5 B" U# g l: [5 m: y* O- {: Q
co_min++;
, c6 b; f* h. q# ^( D. h return;& F* O0 W. Q6 O1 e
}</P>2 b. e' k3 n" D/ c% W
<P> if(newpop[j+1].fitness>min)
! J; ^! J- y# `{for(k=0;k<lchrom;k++)
# j( M& ?7 A8 s" T+ \! a oldpop[minpp].chrom[k]=newpop[j+1].chrom[k];: L. z" u* J6 c! ]
oldpop[minpp].x=newpop[j+1].x;! s+ @- s3 s( Z2 S# k
oldpop[minpp].fitness=newpop[j+1].fitness;% g' Y5 A: \( \, t5 ]
co_min++;
: m: h4 U/ H0 S* g! b return;
- o5 E' d) D/ z- m! m3 e6 V}/ Q8 \6 \! K: W' J: B9 \ i; c
j=j+2;
4 u1 W S! k! V4 `+ w6 T1 N% K }while(j<popsize);
W2 _$ k# e0 Z}</P>
. e: a' A, }. j# z" e) S1 A, M<P>/*%%%%%%%%%%%%%%%%%*/</P>
z+ E8 |# m6 w+ @<P>void initdata()
5 ]1 r$ i- U8 n: _/ g& c; Q{unsigned int ch,j;
]& I6 X* q, u5 ^4 Y, _9 Rclrscr();
, e6 {6 c4 L% ~5 ~7 G+ |3 Z6 h$ ~5 F! ]4 E1 pprintf("-----------------------\n");
1 R" Z2 _ ^: `3 K m. |6 ~printf("A SGA\n");1 V6 J9 A" `4 c. N% s
printf("------------------------\n");- {; P: [. ?0 C) b3 ?7 W: d" U
/*pause();*/clrscr();
+ Z( q5 m: L( g7 Z6 ?printf("*******SGA DATA ENTRY AND INITILIZATION *******\n");
. `+ p0 X6 V1 eprintf("\n");
" L/ G- e. m" I: w7 T2 `; h5 Eprintf("input pop size");scanf("%d",&popsize);
+ M* p- U$ V, C" oprintf("input chrom length");scanf("%d",&lchrom);9 p3 B4 B; R, B$ Z
printf("input max generations");scanf("%d",&maxgen);
, B0 Y' ~, U7 H+ X/ B( w% i7 Z1 S5 p/ H" _printf("input crossover probability");scanf("%f",&pcross);
& f! F6 K! l: _$ {printf("input mutation prob");scanf("%f",&pmutation);! G' Y6 [) Z2 p* `/ p2 @
randomize1();/ F! C l/ `7 P1 h
clrscr();
+ f1 o R2 y3 k. |9 Inmutation=0;
4 ?: B3 }) |7 a( l! a" Bncross=0;
I8 P7 X$ ?5 x! v+ J}</P>% ^6 E+ i; }; O& J2 R9 t2 Z
<P>/*%%%%%%%%%%%%%%%%%%%%*/</P>. x4 i/ j7 j3 @1 c
<P>void initreport()
. F; P' x; ~* f( q3 m l0 |" C{int j,k;
4 u; t- q, z4 Q5 k9 Z* K% fprintf("pop size=%d\n",popsize);
7 l0 l; s5 J5 ]printf("chromosome length=%d\n",lchrom);& T% P, \: O3 {; A' o9 G
printf("maxgen=%d\n",maxgen);+ Q+ p% v- N5 r" a6 o% H% [/ D
printf("pmutation=%f\n",pmutation);3 j9 t5 Y3 F0 V+ @1 h
printf("pcross=%f\n",pcross);" b7 O; i+ P, u
printf("initial generation statistics\n");4 Z& i/ g0 v# a( g
printf("ini pop max fitness=%f\n",max);
* w% Z3 h% Z2 B5 A: Aprintf("ini pop avr fitness=%f\n",avg);
. ]3 P+ k5 S/ k/ a" C' Pprintf("ini pop min fitness=%f\n",min);; [& m4 X3 V; O0 F0 z- c" o
printf("ini pop sum fit=%f\n",sumfitness);
! U+ l2 R( a7 |; y}</P>3 C5 m% n8 M' B% \! D
<P>
?/ ?. j, q7 h7 c4 l5 _; ~4 \8 Evoid initpop()
% _! @/ v) K. V# Y" o5 T3 I" L{unsigned char j1;7 ]7 ^# N* Y5 ^- |( i
unsigned int k5,i1,i2,j,i,k,j2,j3,j4,p5[maxstring];! t7 {. L- d" \3 N
float f1,f2;& l; L* t( j& W, x% Z3 d e: ]" A2 A. |
j=0;: b" w' k- m7 Z3 o" {) p
for(k=0;k<lchrom;k++)5 ~, j2 n \0 T& \
oldpop[j].chrom[k]=k;
$ @7 i5 ^* A) X/ Efor(k=0;k<lchrom;k++)
& d5 C/ ^. ~5 t& v) L& T: K p5[k]=oldpop[j].chrom[k];
5 W5 d$ u" }* Prandomize();
4 n: @ s1 X3 ^0 sfor(;j<popsize;j++)6 l+ }* X! G$ \& w) g6 \/ x
{j2=random(lchrom);- h( F6 K4 b, a$ w0 V/ Q; H
for(k=0;k<j2+20;k++)# J7 f5 W1 c. J/ \
{j3=random(lchrom);1 i$ {2 \! R8 z2 J, q% S0 h
j4=random(lchrom);/ M" _, }8 D3 y, F9 Q; T1 I. ~) R7 x
j1=p5[j3];
! |; v8 [! ~# M8 q! Q, ~ @ p5[j3]=p5[j4];) f+ L X# E0 t: z
p5[j4]=j1;& U- C+ V4 Y! W, c5 R" d
}
& n% W; }% P6 n5 J j" E for(k=0;k<lchrom;k++)
( g4 X: F' |+ f4 c4 Q+ g; V" x5 z" C, w oldpop[j].chrom[k]=p5[k];
$ R; j0 I. }% g }5 i$ M/ U- g4 e6 O4 o" _
for(k=0;k<lchrom;k++)4 H7 b; G, w% |$ P- m
for(j=0;j<lchrom;j++). z+ y% s6 s3 Y
dd[k*lchrom+j]=hypot(x[k]-x[j],y[k]-y[j]);9 ^. `# g5 z0 S! P6 G
for(j=0;j<popsize;j++)" T9 i; S- Q) n9 B' ?' W. V! n
{oldpop[j].x=(float)decode(oldpop[j].chrom);
' k6 l! e! f8 V, d5 r- D4 p* D! d oldpop[j].fitness=objfunc(oldpop[j].x);' N, ^! V* ` O/ ?) y; p
oldpop[j].parent1=0;
$ L$ v' v K6 F( ^ oldpop[j].parent2=0;: T( K( d, O) f* I( O( S2 c, X
oldpop[j].xsite=0;
: _# d! `+ f* Y5 O& l4 k }
6 b( c+ {& K, d% o" ?6 ~ @$ b}</P>& S0 R" c' C% d+ o" V! E
<P>/*&&&&&&&&&&&&&&&&&*/7 T3 M9 \) ?1 w; B. _( `) C& x
void initialize()
8 X8 ]3 W! \$ V; m3 x3 H- d{int k,j,minx,miny,maxx,maxy;1 W* I9 q) L' t! y8 x! {, C
initdata();
. b4 G0 e' o, F' R- I* Z# [minx=0;
m. q; g' O# F5 o/ @, vminy=0;
6 A" D6 l& R# |( h p2 ]: pmaxx=0;maxy=0;" |3 j& ^# ]9 Z2 l; ?/ m
for(k=0;k<lchrom;k++)7 h: t" h" P6 m
{x[k]=rand();
( G6 |( Q9 R# a" M/ L5 a if(x[k]>maxx)maxx=x[k];+ J- K/ ]6 y+ |+ }
if(x[k]<minx)minx=x[k];0 t) _" S0 ?3 c4 v, o( V9 V
y[k]=rand();1 V2 T% c8 O- ]- w
if(y[k]>maxy)maxy=y[k];4 v' ?, a- D: _/ x/ N1 z, R6 e
if(y[k]<miny)miny=y[k];* ?: k/ z7 j8 g7 b
}
8 C7 I! S8 q! Q& Xif((maxx-minx)>(maxy-miny))2 _- e- V+ T/ Y
{maxxy=maxx-minx;}. f* C' _# o% V2 [2 v% U: D
else {maxxy=maxy-miny;}$ e2 S) o {( D
maxdd=0.0;
4 W7 R/ m8 p8 q& mfor(k=0;k<lchrom;k++)
0 O- T; s8 g4 B) W1 B, e; _9 j for(j=0;j<lchrom;j++)
5 j+ }& e6 k/ ~/ x+ d5 D {dd[k*lchrom+j]=hypot(x[k]-x[j],y[k]-y[j]);
- t- L) z# i) Z1 w9 | if(maxdd<dd[k*lchrom+j])maxdd=dd[k*lchrom+j];
# f+ Q, \" G0 b7 j6 q }, O. t; ~8 S K8 g2 V* U R% s4 u1 d
refpd=dd[lchrom-1];
4 S0 N( u7 E! L, ~. g: q# i+ Tfor(k=0;k<lchrom;k++)/ n9 M7 O) H# M2 W. A6 R8 ^* v
refpd=refpd+dd[k*lchrom+k+2];5 h+ y' S/ n9 J( e0 ?
for(j=0;j<lchrom;j++)
- ] x% A! M4 ?7 J* P5 |8 n% j* Q dd[j*lchrom+j]=4.0*maxdd;. Y D _/ T8 w2 g4 P: y
ff=(0.765*maxxy*pow(lchrom,0.5));
) E/ U& Z! @/ h& m+ ^ o/ t$ u' t1 Bminpp=0;
* }/ J8 _& P- g' V6 X' M% T8 o9 m! F0 `min=dd[lchrom-1];
3 ], L v4 f9 R) ?0 _6 D% C. \( ifor(j=0;j<lchrom-1;j++)9 T. {$ [% F, p# R
{if(dd[lchrom*j+lchrom-1]<min); i, M! {% I, ]4 O2 u% x: ]. h3 E1 T
{min=dd[lchrom*j+lchrom-1];2 o3 M3 P/ Q( U& T: c8 e
minpp=j;
0 Y( t$ n0 y& \. W3 O}
! ? D5 _- e+ j* W$ p+ L2 [( y }4 n5 t9 E5 {7 A. m
initpop();
2 R) Q0 ^' h5 W0 cstatistics(oldpop);) U% H3 {6 P- w% D, `
initreport();
; J/ m9 w- [, p}</P>: T2 d9 q+ m4 c% P$ r
<P>/*&&&&&&&&&&&&&&&&&&*/</P>
* h8 E# D# H6 t" K; ?" {<P>void report(int l,struct pp *pop)9 r4 w& n% X1 O1 E) m% o
{int k,ix,iy,jx,jy;9 o* K% d$ {9 Y0 D/ _) Q# e8 |
unsigned int tt;4 W/ z( j1 [9 ~0 D3 c
float ttt;% h- N0 T' y+ _! j! n* w& |
cleardevice();
: w7 J& m, Q) E) Q: u. {gotoxy(1,1);; l) O! u l" {3 ]2 O
printf("city:%4d para_size:%4d maxgen:%4d ref_tour:%f\n"
- r9 m1 R6 P; A; v ,lchrom,popsize,maxgen,refpd);8 k# {! r B% D% I8 b; O
printf("ncross:%4d Nmutation:%4d Rungen:%4d AVG=%8.4f MIN=%8.4f\n\n"4 R) x) C8 @2 a: X' ^9 E& X7 u$ S
,ncross,nmutation,l,avg,min);* w _- g3 v9 ?- v! s
printf("Ref.cominpath:%6.4f Minpath length:%10.4f Ref_co_tour:%f\n"
( a6 C" ^# T; `9 @4 [" @0 n ,pop[maxpp].x/maxxy,pop[maxpp].x,ff);
! ?* V' P) q, B6 f: I2 r% Aprintf("Co_minpath:%6.4f Maxfit:%10.8f"
6 U0 ?7 B% ~1 A: ~7 m7 [ L ,100.0*pop[maxpp].x/ff,pop[maxpp].fitness); u+ c* ^/ r W% L6 n
ttt=clock()/18.2;
0 Z) f7 ?- o! C e& L' e1 r" xtt=ttt/60;
% T' F( B7 l* a( `3 c4 Q3 rprintf("Run clock:%2d:%2d:%4d.2f\n",tt/60,tt%60,ttt-tt*60.0);# ~ B2 J5 c8 V1 t- M* Y2 c
setcolor(1%15+1);" h' D( ~6 v( @: x: t0 B
for(k=0;k<lchrom-1;k++)0 C& O8 Y! @% J# c. v# W: K
{ix=x[pop[maxpp].chrom[k]];' m- j3 f! @2 s6 {9 z
iy=y[pop[maxpp].chrom[k]]+110;. L6 o; G; T1 g m. F
jx=x[pop[maxpp].chrom[k+1]];
6 q+ M: [1 N4 ]& s0 ~/ E4 G jy=y[pop[maxpp].chrom[k+1]]+110;) c- P; ?( W* h7 _
line(ix,iy,jx,jy);# N& p0 r! a0 ?
putpixel(ix,iy,RED);/ E. r8 [; T3 q' ]; H7 U# s h& h
}* J/ V& r* c- v( n
ix=x[pop[maxpp].chrom[0]];3 a* a1 W `8 c9 m
iy=y[pop[maxpp].chrom[0]]+110;
" F! J9 c% L; ?' gjx=x[pop[maxpp].chrom[lchrom-1]];* ]! o9 w( T7 M* Q
jy=y[pop[maxpp].chrom[lchrom-1]]+110;" S& A) H E' f( s
line(ix,iy,jx,jy);/ u }' M c Y/ y' U d/ y' g1 c U
putpixel(jx,jy,RED);
8 q% a1 @& f" B P) @& usetcolor(11);6 O1 V- H% |9 ]! W4 m: b2 o
outtextxy(ix,iy,"*"); S. K6 [" c. k7 }# N _
setcolor(12);0 [, c$ n, q1 I) v# k( ^ j
for(k=0;k<1%200;k++)4 U: a# {) w# K: @, ]; |0 W( ?
{ix=k+280;
- q t- h0 I9 Q; M+ @ iy=366-fm[k]/3;
, a, S0 B9 f( _ D jx=ix+1;
9 Q. j4 M' i. ^/ R( q jy=366-fm[k+1]/3;7 K3 |0 X5 r& @& v2 N: [
line(ix,iy,jx,jy);
8 i% w# G& R2 B5 E! n putpixel(ix,iy,RED);# W* A4 T9 T+ J8 Z+ S2 J8 F4 m
}
* o9 M0 O1 Q- @) ~& v9 u! bprintf("GEN:%3d",l);
! r% {5 A( ^2 i2 I7 Z" Qprintf("Minpath:%f Maxfit:%f",pop[maxpp].x,pop[maxpp].fitness);
0 h! Y( f; e2 j, z/ N3 vprintf("Clock:%2d:%2d:%4.2f\n",tt/60,tt%60,ttt-tt*60.0);1 J- l+ O5 ?( t( f2 a' w
}</P>
- P5 E6 d8 A4 ~7 }<P>/*###############*/</P>0 D' W+ ~. u {! i2 T1 ~! B
<P>float decode(unsigned char *pp)
$ m" L. H( {$ K{int j,k,l;$ f8 a* {( b0 I& c, a+ h ^
float tt;4 F/ r; {: M- P) R) N
tt=dd[pp[0]*lchrom+pp[lchrom-1]];
W+ w% A: m! H/ K) Vfor(j=0;j<lchrom-1;j++)2 S& G& i+ B; y( i
{tt=tt+dd[pp[j]*lchrom+pp[j+1]];}
5 p% R7 r! s: ~% X3 o Jl=0;
. v7 m9 C1 t$ k+ l4 [; afor(k=0;k<lchrom-1;k++)
5 B7 G" l( U2 R) k- l) H for(j=k+1;j<lchrom;j++)
# ?( v I( n, P9 \; [ {if(pp[j]==pp[k])l++;}
6 v8 b# O5 K2 ^6 o9 [return tt+4*l*maxdd;
$ d9 @8 t @, z; w. b}</P>% X! R$ u5 Q2 P1 l
<P>/*%%%%%%%%%%%%%%%%%%*/% V" H8 b% E8 o3 c5 G
void crtinit()6 c2 d+ N! {( _3 I5 R7 K* N
{int driver,mode;
! k- s( k0 k' Q3 @8 L' y! U# ^struct palettetype p;1 Z& ~) Z* j0 m# P4 e
driver=DETECT;) s5 j7 G: l L' L: a9 z
mode=0;9 C! S% m3 o2 d8 F
initgraph(&driver,&mode,"");. [% ^5 B4 O) E$ J, p( |0 E
cleardevice();
1 K2 J& V" |, F}</P>
" X' l' p: L8 N1 K7 I<P>/*$$$$$$$$$$$$$$$$$$$$*/8 V# i' z5 E3 N, p- Q! G
int select()
/ L+ ~1 [- G1 J3 z; L) m{double rand1,partsum;
: K: Z6 X0 N/ K E) I8 u5 q" _% ]float r1;3 g: ?/ a, Y# Y+ j4 X0 D" S1 L! [ T
int j;* v7 u5 l, @# G7 t
partsum=0.0;
$ i' {: h1 @1 \0 V; O- _j=0;
0 c. O% I+ @9 X/ z' y. Zrand1=random1()*sumfitness;
; {% m$ ]8 ]; t5 N4 v) t: |9 Udo{+ U+ S7 `) [* a( ?- H5 l _9 S
partsum=partsum+oldpop[j].fitness;* a R9 Y" P! x* P; {& H# ?( }
j=j+1;
& f1 j3 x, W) v }while((partsum<rand1)&&(j<popsize));
6 {4 H x! r# g' ~! j, Ireturn j-1;4 P$ s0 k" @: w0 u
}</P>, f5 t% J6 a# d% L* l0 ]! f
<P>/*$$$$$$$$$$$$$$$*/
) _$ |2 G" s& [1 o) q0 Pint crossover(unsigned char *parent1,unsigned char *parent2,int k5)
4 ]. u5 J3 S! H5 _! z! M/ n{int k,j,mutate,i1,i2,j5;
& D. F# S0 |& X( p3 Y: i; hint j1,j2,j3,s0,s1,s2;
7 N# P9 I+ L# gunsigned char jj,ts1[maxstring],ts2[maxstring];
# U: O: @& v* t. f8 Y- x' D0 w5 ]; ofloat f1,f2;
4 a6 s# p3 r6 ` p( z1 J2 Ms0=0;s1=0;s2=0;
^5 Y6 q5 R% K7 S* Lif(flip(pcross))
) I& o9 ] e6 ^* V# c" ~& C {jcross=random(lchrom-1);
/ ~; Y3 t' A4 n" b9 e; e( G j5=random(lchrom-1);) s2 _! _# C! q8 D+ e
ncross=ncross+1;
% B3 l% O/ c; J: C' k E if(jcross>j5){k=jcross;jcross=j5;j5=k;}& b) w7 n9 X3 ~ }% {9 [8 x
}3 m; L; K, ^8 a
else jcross=lchrom;) I% T4 {/ d Z/ Z8 S$ k; u( n
if(jcross!=lchrom)7 T& {3 n: ~$ ^/ W
{s0=1;7 m) ^7 a/ ?' y T: q9 ?5 j4 u
k=0;! B1 ^8 r1 D. ]: s2 Z
for(j=jcross;j<j5;j++)# x3 G) Q+ j7 X) ~+ K! E Z+ ~
{ts1[k]=parent1[j];5 J+ {. n; X, V
ts2[k]=parent2[j];8 g+ D+ a5 B b% g' P- L% r1 T
k++;, P6 H! S& A. F: _ |' s0 r, p i
}
% o' ~3 c' g& @( q j3=k;
* \% I8 S: A% J7 i" K9 o for(j=0;j<lchrom;j++)! v, t U$ e0 H6 x# L$ s4 ]
{j2=0;
F4 s; z4 o( k- i4 rwhile((parent2[j]!=ts1[j2])&&(j2<k)){j2++;}
0 w& w6 l1 a; S+ bif(j2==k)! ]$ p! Q" W; s2 \8 \, W
{ts1[j3]=parent2[j];) m* H. d' a" h# ^0 `4 b0 l8 k# P
j3++;# [9 p7 X( r$ o0 f
}) v9 G% b- k* W0 Q) \5 |
}
- \, H) D, H" A- G/ h$ O j3=k;
* u/ _- p7 Q& \5 g$ i* j for(j=0;j<lchrom;j++)
# {! y! S* X' z+ E) m$ Z8 S {j2=0;6 v! N" C+ e) v4 o& D
while((parent1[j]!=ts2[j2])&&(j2<k)){j2++;}
. {6 H; `; G/ Y2 K4 y$ j- r vif(j2==k)
3 r- ?( i/ X1 x* K& P# @ {ts2[j3]=parent1[j];1 Y, I9 B( z+ ?
j3++;, R+ d+ g# d/ k; ]& {
}
3 F( q5 o+ ^' v2 u6 g }
( s s, B- }9 n( B for(j=0;j<lchrom;j++). u4 d/ m m# L3 G3 V
{newpop[k5].chrom[j]=ts1[j];' T& T: `0 m5 l! {# L: a
newpop[k5+1].chrom[j]=ts2[j];. ~* J, i' F( |4 E
}- Z* v8 q! v7 ~( z1 A* z1 r
}$ ?: B& \7 }3 H
else
! M: ~: o+ x) U: i. E/ @8 O3 b- p {for(j=0;j<lchrom;j++)1 K+ Y7 b; b$ ?3 k
{newpop[k5].chrom[j]=parent1[j];
. N+ g% P' A: A newpop[k5+1].chrom[j]=parent2[j];& I }0 R, K6 Q
}5 ?+ z0 X) [0 R% e$ x- A: r
mutate=flip(pmutation);$ \& ^5 u0 s9 |
if(mutate)
4 s0 I8 I- `& f: F& s; H2 w {s1=1;# W K: Q* f/ ]2 B/ K% m
nmutation=nmutation+1;
( [% r0 A; A# t* o2 n for(j3=0;j3<200;j3++); a5 f7 ?. p* Z9 _0 y, N5 D% u$ g
{j1=random(lchrom);, E' D5 h6 H: `& z3 \& B) ?
j=random(lchrom);
* i9 e# N* |2 ~ jj=newpop[k5].chrom[j];
. M" P* u( i! b( G/ C' \& z newpop[k5].chrom[j]=newpop[k5].chrom[j1];
) \/ N& C( R8 R, p newpop[k5].chrom[j1]=jj;+ f& l2 S8 g& R) C
}
6 i5 x, A9 ^1 s! k& V$ o }2 r: w' s9 \ F* O) J6 y
mutate=flip(pmutation);
- \" v$ G" P* k7 m" v$ V if(mutate)* ?; u/ [7 }; p3 S. l) F
{s2=1;) q7 P3 U8 Y0 n, ]
nmutation=nmutation+1;6 B7 x; }8 T1 X% g+ x' ^
for(j3=0;j3<100;j3++)/ `+ ]: _- d; \$ g+ Y9 e
{j1=random(lchrom);
; z+ J+ p% R' F# q; M j=random(lchrom);! L5 U& ]2 k z2 p3 ]# w- L
jj=newpop[k5+1].chrom[j];) L6 G8 Q9 W+ a: I |! b0 ]
newpop[k5+1].chrom[j]=newpop[k5+1].chrom[j1];
; B$ M$ X7 o3 b9 r2 O/ P newpop[k5+1].chrom[j1]=jj;
5 ?% I7 t. y) G4 r0 i7 T1 v+ i7 S }3 a% v A. O9 s9 e4 n
}
: Y5 `1 Q; w' [9 E }
5 p8 E- G3 M8 v j2=random(2*lchrom/3);
0 |3 _ _5 y2 \ ^) ~ for(j=j2;j<j2+lchrom/3-1;j++)" [" M9 c5 S, Q% B: j% g/ G; {
for(k=0;k<lchrom;k++)
! O0 Q. t- @9 Y. u& _ {if(k==j)continue;
4 k+ @% P* z0 f' Z9 Kif(k>j){i2=k;i1=j;}
! Q( f4 H2 s5 t else{i1=k;i2=j;}
, h5 b& D. J. ]* q/ f% {f1=dd[lchrom*newpop[k5].chrom[i1]+newpop[k5].chrom[i2]];5 k$ d3 G! t! p( v* S
f1=f1+dd[lchrom*newpop[k5].chrom[(i1+1)%lchrom]+2 q" C2 U$ H5 y9 ?/ i* |
newpop[k5].chrom[(i2+1)%lchrom]];
1 A6 j5 z) [) c, E2 [8 Nf2=dd[lchrom*newpop[k5].chrom[i1]+5 v+ ~& l1 s4 T( o5 I4 e2 Q) F
newpop[k5].chrom[(i1+1)%lchrom]];8 z5 r% b. d: b- [) e
f2=f2+dd[lchrom*newpop[k5].chrom[i2]+
& L# ~1 ^5 c& |+ f newpop[k5].chrom[(i2+1)%lchrom]];/ P1 q7 G C; V1 v1 z" {
if(f1<f2){inversion(i1,i2,newpop[k5].chrom);}
( n0 L4 S0 p* [5 M3 e% ] }5 \/ C7 B- h7 N; z( o+ }. `
j2=random(2*lchrom/3);* ^6 o% S) y: z# H: E# M; d
for(j=j2;j<j2+lchrom/3-1;j++)' K8 f8 a" X% e5 y9 ?. S% g1 b
for(k=0;k<lchrom;k++)
' q4 D% q3 p7 [7 y/ u: m {if(k==j)continue;- t. i9 R9 Q% k# c
if(k>j){i2=k;i1=j;}6 R% S [5 n( c; z
else{i1=k;i2=j;}
& w8 l; b1 x9 W) U- af1=dd[lchrom*newpop[k5+1].chrom[i1]+newpop[k5+1].chrom[i2]];
- y: S% A; f0 v' D& a2 N3 Mf1=f1+dd[lchrom*newpop[k5+1].chrom[(i1+1)%lchrom]+
P+ C7 | `" E2 N/ f newpop[k5+1].chrom[(i2+1)%lchrom]];! A4 n% X8 f1 v
f2=dd[lchrom*newpop[k5+1].chrom[i1]+
; ~/ k( q& C1 e6 x( D* B newpop[k5+1].chrom[(i1+1)%lchrom]];% w8 C g% r5 y8 H2 m5 }
f2=f2+dd[lchrom*newpop[k5+1].chrom[i2]+
7 v5 h R$ B1 ~3 o" A% k2 d9 v o newpop[k5+1].chrom[(i2+1)%lchrom]];
* I7 C9 C! C4 \: ]3 l4 d! tif(f1<f2){inversion(i1,i2,newpop[k5+1].chrom);}
& G0 A. z7 e5 M8 v, Z }
4 x' B5 W; a$ d+ ~ return 1;7 F& d5 ]; k5 I( S) q$ T
}</P>7 p5 G9 F6 v+ J6 ?( b! R
<P>/*$$$$$$$$$$$$$$$*/</P>
& l( y8 b9 {) }4 T- ]% V<P>void inversion(unsigned int k,unsigned int j,unsigned char *ss). t6 G8 e& n$ v: y& L
{unsigned int l1,i;
# T H9 j6 h! [; c6 J hunsigned char tt;( H. C$ v9 \4 f
l1=(j-k)/2;
5 }( e& ^; G! Jfor(i=0;i<l1;i++)* a: G! |: a! I$ x% q$ V) V
{tt=ss[k+i+1];
& t3 g- {! I( w- H1 T ss[k+i+1]=ss[j-i];# {% H6 P d* L" S1 e
ss[j-i]=tt;
& P1 W4 t- _! I A }
% i7 f1 ?* ~. d& p0 _}</P>
) g, c; H& I* n4 Y8 B$ F% K% x<P>/*%%%%%%%%%%%%%%%*/</P>9 ~* ^; S; U8 v0 [
<P>void randomize1()
+ F/ M5 v. J b# O{int i;6 p4 Q: H4 r% t* h
randomize();' L4 Z9 m7 B/ ~+ [
for(i=0;i<lchrom;i++)6 m/ Y2 T3 J, b5 A$ g
oldrand=random(30001)/30000.0;
6 c4 g" Q' K- h/ hjrand=0;/ O6 w; b) k; D5 R$ O
}</P>
6 D0 g' ^& w6 ~+ g9 o3 F2 K<P>/*%%%%%%%%%%%*/</P>
q) B/ z, b1 }3 H' z# t2 c# P<P>float random1()# B/ n5 z# X! A \/ w5 y. \
{jrand=jrand+1;4 L1 ?$ I/ g* `7 Z
if(jrand>=lchrom)
& p* S) j. l% C, u! t {jrand=0;7 f u0 i' T ^4 B1 q9 w
randomize1();
- A% v$ P4 R2 V- j: q }0 v! K' M! E1 z/ T9 k
return oldrand[jrand];
& P# d+ |4 e& v' ?}</P>" L4 F1 b7 W) |+ e
<P>/*%%%%%%%%%%*/</P>
& Q' e* k- P7 X) M5 G<P>int flip(float probability)3 M- |" A3 [# L" s( G: x
{float ppp;6 I; k6 o& H2 C4 P; U1 L1 R) q: F* e1 r* {+ w
ppp=random(20001)/20000.0;7 Y% p8 t' `+ U! _( I2 |8 [
if(ppp<=probability)return 1;" }# n* S* I+ _7 o
return 0;
, H$ Y) F* a- w, E/ B+ U9 H}</P></DIV>; a. X: p4 g" Q w& P$ Z3 R6 K1 W' |
6 @8 k2 z3 F; [( a; Y! u
<P>改进后用来求解VRP问题的Delphi程序:</P>3 \: ]: _( y, X- E' U8 c' J
<DIV class=HtmlCode>
8 i: C7 _5 _& [4 j) K<P>unit uEA;</P>
0 i( H4 O v6 v; J2 ]4 [2 H2 _<P>interface</P>
* c+ F% Y/ V- t. w% F<P>uses
2 n& A" _: V( p% C. EuUtilsEA, uIEA, uITSP, Classes, GaPara, windows, SysUtils, fEA_TSP;</P>
. C& f" S2 {$ B- X0 \9 n4 K<P>type* e+ k6 M2 b0 N- [, G7 T; D# n
TIndividual = class(TInterfacedObject, IIndividual)8 E1 G" j. W0 ^( i* j( F9 f& k
private
. Y9 I$ n( H' y/ \) ]$ l// The internally stored fitness value6 z- G( J$ Z( @5 T, F3 ?6 q+ k
fFitness: TFloat;! b. ~0 q6 ?; H2 m8 E
fWeConstrain: integer;! F" }# X* p( n8 ~ ]9 ]" b6 t7 w6 L
fBackConstrain: integer;
- L: r- [- x% Q) U" f# F$ qfTimeConstrain: integer;
# n+ j$ m4 L' n: |! h) `. `procedure SetFitness(const Value: TFloat);
% C* @' d3 c+ \5 H* yfunction GetFitness: TFloat;
6 ?! j/ T1 K gfunction GetWeConstrain: integer;
0 M& B' v6 ~+ _procedure SetWeConstrain(const Value: integer);5 \$ v, r, b8 N. b# l
procedure SetBackConstrain(const Value: integer);
3 b( V/ e& n% A" \9 F8 k7 bfunction GetBackConstrain: integer;! G# u' l3 q0 [. w! q# ]- k
function GetTimeConstrain: integer;
* X( _. x) D2 k0 P$ I, c7 w" ^procedure SetTimeConstrain(const Value: integer);/ B c6 ?) ^1 X0 U; a
public
+ j! I/ y. E. b* Oproperty Fitness : TFloat read GetFitness write SetFitness;& V+ s$ P& m7 J1 ~
property WeConstrain :integer read GetWeConstrain write SetWeConstrain;! h# { @* i" }* E! o7 A/ A3 i9 X
property BackConstrain :integer read GetBackConstrain write SetBackConstrain;
' r& q9 h+ |9 i- |; I" A, Uproperty TimeConstrain :integer read GetTimeConstrain write SetTimeConstrain;' @ X# x5 M q T
end;</P>
; [, }$ M. t9 i4 D5 v' t<P>TTSPIndividual = class(TIndividual, ITSPIndividual)* C( K' t k: g
private
: M/ t) L u) T# i+ |# f// The route we travel
3 ]2 W4 x2 W& F# y" hfRouteArray : ArrayInt;
, ^- C2 G5 @; b$ |) g& k6 b( ifWeConstrain: integer;+ U+ x4 L: }" u% v
fBackConstrain: integer;; J( S1 r }- O a. F; G8 M
fTimeConstrain: integer;
7 T: B% k2 v ^2 D' w1 a3 T8 Mfunction GetRouteArray(I: Integer): Integer;
/ p: k0 `' N0 X* k2 |" B# H0 l8 wprocedure SetRouteArray(I: Integer; const Value: Integer);$ C0 P u3 E1 U6 c, l; m4 y3 V
procedure SetSteps(const Value: Integer);
* y& O8 A' \* Q- L( m3 e2 Yfunction GetSteps: Integer;
8 C* ]+ v6 G" |) L( s; S. Ufunction GetWeConstrain: integer;4 ]5 w* c; L8 |1 r! B0 p
procedure SetWeConstrain(const Value: integer);
, @, {1 k8 g& x0 _% Q+ Y: dprocedure SetBackConstrain(const Value: integer);6 T; O7 m. a6 N+ Y
procedure SetTimeConstrain(const Value: integer);* \/ ?- F: w; Z
function GetBackConstrain: integer;
7 F: R* a y# B7 t6 U8 Tfunction GetTimeConstrain: integer;
- O3 Q9 l: b" g3 c8 F! Wpublic
, y8 U+ e8 \3 H5 g, x% x/ O// Constructor, called with initial route size
& K* N8 @% L. J* M, J' }$ E/ Z. k; econstructor Create(Size : TInt); reintroduce;1 ^. B e6 `" z# S x' r( W+ x
destructor Destroy; override;
9 g$ s: E* b" X7 P! D2 N, l8 \, vproperty RouteArray[I : Integer] : Integer read GetRouteArray write SetRouteArray;
' A; M6 ~$ m1 j% ?' _. a// The number of steps on the route. w2 q, p+ |2 d& V
property Steps : Integer read GetSteps write SetSteps;
4 L& d- e( P: \# c) Y! O% w5 I1 F; F8 sproperty Fitness : TFloat read GetFitness write SetFitness;5 \) p4 B# M* |' `! v/ H" w
property WeConstrain :integer read GetWeConstrain write SetWeConstrain;
3 x+ s N$ ?2 d- A j/ nproperty BackConstrain :integer read GetWeConstrain write SetBackConstrain;
* g P! o( y& T% G" t4 u' Q3 \property TimeConstrain :integer read GetTimeConstrain write SetTimeConstrain;
6 j/ m4 g6 |+ Q2 {. V: _2 Tend;</P>1 W* R o; \: z3 z) Y& q+ [
<P>TTSPCreator = class(TInterfacedObject, ITSPCreator)
6 x. i4 }/ F2 W: h0 Q3 \* fprivate! ~: b% U, g9 q! B- \, D
// The Control component we are associated with- Q& C/ u" t) l8 v+ R
fController: ITSPController;
6 ?; @. [4 L$ Sfunction GetController: ITSPController;
# {* i7 j" T% Y' ~* U8 wprocedure SetController(const Value: ITSPController);
9 z: @/ g* d, r$ e8 i( `public7 h& G) |& w' u
// Function to create a random individual7 {; {% k, B1 a2 _8 Q: X
function CreateIndividual : IIndividual;' k4 C/ n+ }2 l. C
function CreateFeasibleIndividual: IIndividual;
. b u+ k& \+ Z: g) h p3 `* b9 L% fproperty Controller : ITSPController read GetController write SetController;/ Y- l1 w) B# v; R, H6 j( o% A
end;</P>
$ P/ u$ A) K0 B; m$ ~; Y: g<P>TKillerPercentage = class(TInterfacedObject, IKillerPercentage)
0 \- u$ z8 G& W' j4 y# ^2 tprivate
" p) v0 H: L, X' g' tfPer: TFloat;2 K ]) o; Y7 K; R
procedure SetPercentage(const Value: TFloat);$ \" F0 \$ g" c2 t& I8 m
function GetPercentage: TFloat;
4 o/ j( o1 t* F) y f3 g! Bpublic
% ~, G2 k! D. K! T( m- X- Q2 ^function Kill(Pop : IPopulation): Integer;2 J4 Q- B1 u( k$ \) l
// Percentage of population to be killed2 o8 O) n1 j, z2 j! d, |8 o. j+ P: L
property Percentage: TFloat read GetPercentage write SetPercentage;
4 o, Q# n* Y% k) U" R0 H# W3 e' xend;</P>
. s2 s$ g9 C z4 s<P>TParentSelectorTournament = class(TInterfacedObject, IParentSelector)4 K2 G- s' @) t9 o6 x: n
public6 k# v( B6 u) K) b7 H
function SelectParent(Population: IPopulation): IIndividual;- v. ~+ g4 \" n! A& `2 Z9 V- Z
end;</P>8 E6 f) U. b- \5 o4 f
<P>TTSPBreederCrossover = class(TInterfacedObject, IBreeder)
. w! Q; P3 I, G$ X$ o8 x1 zpublic
+ P4 h1 ]2 Y8 mfunction BreedOffspring(PSelector: IParentSelector; Pop: IPopulation): IIndividual;
, r; Y" z7 P2 k& eend;</P>
A7 v# d, g' p; ~6 v<P>TTSPMutator = class(TInterfacedObject, ITSPMutator)) ^ L3 s5 a2 W
private1 c* I, m+ _7 W6 b6 h! G( h
fTrans: TFloat;
9 j( D b2 Z3 U8 \3 l' K$ sfInv: TFloat;
0 F$ b0 ?; t1 Qprocedure SetInv(const Value: TFloat);% i- J2 D/ Y+ R l ?1 _4 U1 X8 a
procedure SetTrans(const Value: TFloat);/ e& K6 z" B0 e
function GetInv: TFloat;
, u3 E: J$ {) h4 M [2 U, }1 wfunction GetTrans: TFloat;: [. V/ y' ^* J" M# O3 n% D, |
public$ I E6 E4 Q d
procedure Mutate(Individual: IIndividual);
4 f! X5 Q# z9 T4 G6 |8 A ^ Y" Dpublished
Z6 D3 L; t# |; Y+ _) a4 P+ c// Probability of doing a transposition) a$ j. a0 L5 [. L( V7 m; U( C
property Transposition: TFloat read GetTrans write SetTrans;/ B5 ~( c5 v& k( O
// Probability of doing an inversion% X: O( [2 \3 U5 x, o0 N: t* R9 e
property Inversion: TFloat read GetInv write SetInv;6 Y m( K# s" l# k- p
end;</P>5 T3 _9 n! V, ] [) J
<P>TTSPExaminer = class(TInterfacedObject, ITSPExaminer)
1 }+ i( W6 l6 {0 Vprivate |7 Z( |2 t: C8 ?
// The Control component we are associated with
1 J5 d# p3 G5 k; t- C3 y* F, ` tfController: ITSPController;
1 [+ K# G4 F* P! W% T$ a$ mfunction GetController: ITSPController;
8 N( t+ k! f8 y N4 Lprocedure SetController(const Value: ITSPController);2 ?1 u* {6 w/ X0 m% D- y6 T
public- q5 F3 {/ l5 s
// Returns the fitness of an individual as a real number where 0 => best) I, `# E1 ^( g1 c0 Y9 k
function GetFitness(Individual : IIndividual) : TFloat;6 S1 v- A5 n5 M. j3 Y+ |1 ]/ K# ^5 C1 e
property Controller : ITSPController read GetController write SetController;
, a$ J) E& O% {6 V, Y5 zend;</P>9 I2 q+ X2 V* S& }
<P>TPopulation = class(TInterfacedObject, IPopulation): f1 L! }5 y5 G' E6 I7 d; U
private
& V! |9 |; q: F, `) \9 ^1 Q// The population . g0 ?) X- a0 o% J
fPop : TInterfaceList;
6 I! M% g% T2 A+ L& h6 W1 ]// Worker for breeding' A2 b! s3 g. x: H& T9 @0 S1 f
fBreeder: IBreeder;
5 E. Q9 l$ H% \+ \) T: p, `// Worker for killing
8 o& _+ v* m+ G& qfKiller: IKiller;
" a+ q Z* ^- z# p; D// Worker for parent selection
! o: _( @6 I' ~$ T" E6 a0 efParentSelector: IParentSelector;
' w5 E B0 S- }5 A& ^/ _. T' ?// Worker for mutation
% T$ }/ b0 {! S6 ~fMutator: IMutator;: T6 \/ ` V5 t; }: u( p7 ]) ]- I6 |
// Worker for initial creation0 [1 n) j( u' q5 l8 M8 `8 u
fCreator: ICreator;9 `( z; n# r( B6 x1 _4 i3 V3 L
// Worker for fitness calculation
# @2 [* s$ O; ?fExaminer: IExaminer;" m2 B i6 }9 T$ c& Z) p$ q
// On Change event$ G; p1 p3 }) @# n* o: @
FOnChange: TNotifyEvent;
0 x% k8 Q) w% bprocedure Change;5 C8 a7 t- q2 o5 o/ p* Z
// Getters and Setters
$ }' o: s! w9 Cfunction GetIndividual(I: Integer): IIndividual;' {8 U! ]% F, r7 S
function GetCount: Integer;
5 n9 q# R& `) h& Cfunction GetBreeder: IBreeder;
, F s; J: e3 i/ L- d& h8 zfunction GetCreator: ICreator;5 V( P7 O- e. z" R& E. @
function GetExaminer: IExaminer;! `( M& X# b3 X; s6 J
function GetKiller: IKiller;4 G! d1 B0 q6 @
function GetMutator: IMutator;/ I# [, M5 p8 H. ^
function GetOnChange: TNotifyEvent;
$ z/ S3 ^3 n3 T1 W# nfunction GetParentSelector: IParentSelector;
# g& }* W6 W) C: n' R4 ?: l$ U8 n0 Cprocedure SetBreeder(const Value: IBreeder);6 O# {! g# T0 U5 l' f; c
procedure SetCreator(const Value: ICreator);
; t4 k+ H9 T8 e* i) }procedure SetExaminer(const Value: IExaminer);; |* X5 |2 t3 z z: F" {2 A. z( m
procedure SetKiller(const Value: IKiller);% s3 M. H' y% [' P) e- V9 H* ~+ t
procedure SetMutator(const Value: IMutator);% z6 p7 }+ |# T3 V
procedure SetOnChange(const Value: TNotifyEvent);
! M1 L9 q0 d: q4 K4 xprocedure SetParentSelector(const Value: IParentSelector);: M( k/ s2 g2 k# X: @ M* X
// not interfaced; j3 z' D: n4 z' T( G4 t
procedure DanQuickSort(SortList: TInterfaceList; L, R: Integer; SCompare: TInterfaceCompare);
5 U. i' Z* e" b* B3 G6 cprocedure Sort(Compare: TInterfaceCompare);
* {8 X& q. s4 a/ M5 q3 ~protected
4 B9 V" ~- Y1 K x( t// Comparison function for Sort()
, D& c2 y7 \2 S+ Sfunction CompareIndividuals(I1, I2: IIndividual): Integer;* X, K: _) E1 G! R% R Z
// Sort the population' c( X: l# d& V( ^ P/ H: q4 w
procedure SortPopulation;
+ ~; _& z2 W# C: ]1 Q( Cpublic
+ ^; c3 q3 O, j8 k9 [: ]( `// The constructor$ A0 y( E$ \( w& O8 @; K3 y
constructor Create;
2 g9 `6 J9 x4 B9 C: k/ H// The destructor' s1 q) D3 ~1 @2 K, V
destructor Destroy; override;1 T3 `* F3 E) b: i+ X, r
// Adds an individual to the population
# [* j* H3 [2 \* z: lprocedure Add(New : IIndividual);
3 r" w! B2 W, E9 _// Deletes an individual from the population
' I& N/ u* h; Y: Z9 yprocedure Delete(I : Integer);/ H6 M, l7 _# S8 {4 n! q
// Runs a single generation' o' _ @& Y( D6 q2 Z
procedure Generation;
! r4 v3 A; ]2 l* v) Z' c/ L* j// Initialise the population* Z: X' C0 u: Y! U C
procedure Initialise(Size : Integer);
J7 K4 w2 V& s$ Y2 b// Clear ourselves out
3 u1 ?9 K9 P P" a* D; m! Lprocedure Clear;
0 s& V3 k0 K2 F, A8 J( |// Get the fitness of an individual
$ ]1 q) o- ]" [) @+ Ifunction FitnessOf(I : Integer) : TFloat;
2 m8 U, _2 s, M% ^, ] t" m// Access to the population members0 {6 p7 v" k% k `0 X y
property Pop[I : Integer] : IIndividual read GetIndividual; default;
' Q% Z( h9 k( C0 y1 D// The size of the population
8 r6 b I! z1 L0 q; p5 b4 l7 oproperty Count : Integer read GetCount;( |' C, M/ V. l2 E) @3 v9 _6 `9 g! X
property ParentSelector : IParentSelector read GetParentSelector write SetParentSelector;( @ v* \/ x$ D/ P( P# h
property Breeder : IBreeder read GetBreeder write SetBreeder;0 I. k7 T- ?$ Q, x
property Killer : IKiller read GetKiller write SetKiller;
) _* J1 s4 [5 |. W: v+ |6 R: B0 d' iproperty Mutator : IMutator read GetMutator write SetMutator;
0 p) w% w" Z2 Z: |9 zproperty Creator : ICreator read GetCreator write SetCreator; H1 R; w/ f5 H9 ^1 O) [
property Examiner : IExaminer read GetExaminer write SetExaminer;
( J, r- f/ t& \- t// An event
! x% t. j) u) \1 t8 v$ F7 Pproperty OnChange : TNotifyEvent read GetOnChange write SetOnChange;
7 p* u/ O" C; I* z2 Y" ^: S9 w+ Wend;</P>
1 F7 f1 d2 D" {7 F<P>TTSPController = class(TInterfacedObject, ITSPController), q. }3 ~2 C; a* ^; Q+ _
private _3 h; {, ?' W
fXmin, fXmax, fYmin, fYmax: TFloat;6 z& q8 A) _ |( e
{ The array of 'cities' }
: F' q. y1 Q, K& k, R: u: HfCities : array of TPoint2D;( D- M# T5 P5 i, E. x+ H. J& S7 M, G
{ The array of 'vehicles' }
( M. }5 r. r+ efVehicles : array of TVehicle;
; M$ E8 W% ?& _& S5 g{ The array of 'vehicle number' }
/ o" y" M8 N% ^6 D6 hfNoVehicles : ArrayInt;/////////////////////5 m. J: {1 E1 ~2 w: A+ L
{ The number of 'new cities' }; R {/ m# x. w
fCityCount: Integer;
+ ]# S9 b2 x- K5 } w0 a) [{ The number of 'old cities' }
4 y H' A- Z0 ~foldCityCount: Integer;
2 V8 g. \: a1 r, h$ `{ The number of 'travelers' }
& Z1 r# V, P$ `, PfTravelCount:Integer; ///////////////////////
; V! ~+ Q3 \! W9 w: N{ The number of 'depots' }' x1 N! C* ~- s0 b* X* [
fDepotCount:Integer; ///////////////////////
; |7 B) Z: J Z/ p, A4 J7 U3 O{ Getters... }
8 x$ Q* |) D0 ^9 Gfunction GetCity(I: Integer): TPoint2D;2 \4 o( f% X" C$ G" O* P" v
function GetNoVehicle(I: Integer): TInt;
- R- A; ^$ O2 O7 kfunction GetCityCount: Integer;/ J8 B# V. s6 v$ q2 r/ D. |) F/ H
function GetOldCityCount: Integer; p2 I( c+ P: T; s, Z+ W4 F
function GetTravelCount:Integer;7 @* O* V4 j; ]
function GetDepotCount:Integer;) Z2 @! I2 z8 G3 ]: }# |/ I% G; Z
function GetXmax: TFloat;' V; X6 c( y6 x
function GetXmin: TFloat;
3 R! ~1 M1 J5 e# e4 r( y; B8 mfunction GetYmax: TFloat;
# I2 q. A$ c6 v9 [function GetYmin: TFloat;) k0 g$ x0 A$ d5 k2 |8 H n: K5 U; g
{ Setters... }
c: M! u4 |/ k" S9 m+ O$ S' Iprocedure SetCityCount(const Value: Integer);
' q1 N+ H% r% C2 I: q" iprocedure SetOldCityCount(const Value: Integer);
* u7 T8 Z% N8 F/ ~& Z8 Dprocedure SetTravelCount(const Value: Integer); /////////////! W( m& Q* D7 D- t
procedure SetDepotCount(const Value: Integer); /////////////
3 X7 e8 F# x K5 tprocedure SetXmax(const Value: TFloat);/ _5 [- h+ r3 O: X
procedure SetXmin(const Value: TFloat);/ o2 ]) _/ G4 m' y
procedure SetYmax(const Value: TFloat);! L. P& U6 a9 Q
procedure SetYmin(const Value: TFloat);& h0 u) U, f( |0 N! `& |0 x
function TimeCostBetween(C1, C2: Integer): TFloat;& G+ }2 i' x' {& J+ z, j
function GetTimeConstraint(Individual: IIndividual): TInt;+ r# h* i9 U2 l/ f0 E$ i1 o
function DateSpanToMin(d1, d2: TDateTime): integer;" O0 K7 c2 k3 K4 n$ r
function GetVehicleInfo(routeInt: Tint): integer;1 u7 p8 q# O* }8 R
procedure writeTimeArray;
, @3 O+ W& m" z6 Lprocedure writeCostArray;# X8 E3 Y3 v) t7 K, V
public
3 h8 A8 y4 s, h. Y{ The constructor }
5 P# q9 \; d: Oconstructor Create;
* ? ~8 N8 z8 h3 B4 U, \{ The destructor }/ ^' [" ^4 z$ a% C7 r, R+ v6 S
destructor Destroy; override;
" n+ e0 T* k# D4 N{ Get the distance between two cities }
h2 ] F( y' C! b: B" @- P, ffunction DistanceBetween(C1, C2 : Integer) : TFloat; 8 j, m4 C4 b3 p; Y u7 T
{ Get the cost between two cities }
4 R$ s1 {! D' }5 e4 e0 B' ^4 sfunction CostBetween(C1, C2: Integer): TFloat;</P>6 G1 Y) M9 q( b6 F1 r' F# D
<P>function GetWeightConstraint( Individual: IIndividual): TInt;</P>+ w* ^ s+ n$ c3 J9 B+ T
<P>function GetBackConstraint( Individual: IIndividual): TInt;
4 h8 a! O9 ]! X: }+ k6 U2 Y{ Places the cities at random points }
# X$ X; i3 x9 Sprocedure RandomCities;1 X4 i+ K. p/ L
{ Area limits }# `7 E4 E7 o! e% f4 s
property Xmin: TFloat read GetXmin write SetXmin;
8 K" B& w9 [* F6 t& ?3 Q' gproperty Xmax: TFloat read GetXmax write SetXmax;( k! H/ L+ @9 @* w8 r6 n
property Ymin: TFloat read GetYmin write SetYmin; }8 X$ j Z& Z
property Ymax: TFloat read GetYmax write SetYmax;
+ q* O, }1 l, G# z, @* {{ Properties... }- J1 \. L; D3 N0 b& f- l- p
property CityCount : Integer read GetCityCount write SetCityCount;- A& U& t1 M9 j4 }; r5 ?; W" C+ c3 d3 G0 M
property OldCityCount : Integer read GetOldCityCount write SetOldCityCount;0 m9 H& x X# H7 A- y) a* ]
property TravelCount : Integer read GetTravelCount write SetTravelCount; ///////////3 a- }, H$ J1 l" B& y4 Q
property DepotCount : Integer read GetDepotCount write SetDepotCount; ///////////
) [) K9 Y5 j. |1 y{ Access to the cities array }: U2 s) ?+ i/ P/ r8 k/ \7 T/ H3 N* }' _
property Cities[I : Integer] : TPoint2D read GetCity;
# c0 G! @1 `# S0 lproperty NoVehicles[I : Integer] : TInt read GetNoVehicle; ///////////////8 u. u1 X7 G" w w
end;</P>3 u) Y. @" z# M! \! I8 y8 F/ l
<P>implementation</P>
3 d- q; Q/ m! c7 c, k5 ]- T<P>uses
5 M+ g% M' M2 O# h; dMath;</P>3 r2 V, V" o3 H
<P>{ TIndividual }</P>. I2 C! P3 }) s6 l7 C0 F
<P>function TIndividual.GetFitness: TFloat;" {& K2 W- b5 Q' O
begin
, ~/ H# z& ?" Cresult := fFitness;) E8 ^6 X" I8 G3 C
end;</P>8 o. A0 y- y8 v' O5 y, g# g. t
<P>function TIndividual.GetWeConstrain: integer;
( t6 h) ?" x$ G% s2 @/ N3 ~" ybegin
5 c" L n9 V0 r$ [7 Fresult := fWeConstrain;+ B2 e5 r+ I# h2 P" J
end;</P>
8 H8 R8 S0 R, T<P>function TIndividual.GetBackConstrain: integer;
' s' L2 o* U0 I: }begin
. C: V# I. C$ z: \8 Lresult := fBackConstrain;
, `% W- V- y3 W) @6 \) ?end;</P>7 c9 |0 O) |2 M5 P+ [5 W# b
<P>function TIndividual.GetTimeConstrain: integer;
' R1 ~) ]8 p# P) A. ?- D9 h- qbegin3 B9 _& k; `$ v( A0 ~# t
result := fTimeConstrain;( f$ z* O7 ~. c& r v/ u0 k
end;</P>
% C9 B3 p) E. R9 R! E4 O<P>procedure TIndividual.SetBackConstrain(const Value: integer);
; O. E2 `( A& v7 e2 t6 Zbegin
+ _* w$ y$ M4 `: N" kfBackConstrain := Value;
$ b' D6 k8 q' I% v- Gend;</P>2 \9 b% k% q( |, D3 X" X/ i% H
<P>procedure TIndividual.SetFitness(const Value: TFloat);
! D, \: K: Y K _# t: O" _# ^begin2 A/ T a2 H( O! i$ X: ]
fFitness := Value;
# u+ O; d$ b; i0 Q' `" P3 _end;</P>
# ~4 f Q' o9 V# r Y6 B' l( ]* Y; a<P>procedure TIndividual.SetWeConstrain(const Value: integer);$ L; I2 [; h4 P7 D0 a" c
begin
' Q+ d$ O8 _/ x) y% RfWeConstrain := Value;
0 b! `1 O; `5 {/ Iend;</P>
' B3 C7 P) W- X# n8 R<P>procedure TIndividual.SetTimeConstrain(const Value: integer);
" y* }3 E2 t6 Z3 obegin
. G- O0 ?# s; C. \; v, D) {7 ofTimeConstrain := Value;
/ ~) o$ Y7 T6 Y; nend;</P>9 C f D1 B/ k
<P>{ TTSPIndividual }</P>
# ^0 R! x$ _) W8 {7 i* [. F3 O<P>constructor TTSPIndividual.Create(Size: TInt);
/ d6 W. ?$ @4 ^* \; t. {3 Dbegin0 n# G# [8 _+ T4 U! K% u! q2 H
Inherited Create;
3 z$ k! _$ }# @# wSetLength(fRouteArray, Size);5 E" p+ V4 A# X4 i. \! B* V3 \
// fSteps := Size;
9 T* Q' _ Q3 ?3 H; ^end;</P>; M0 s8 I- D9 }8 ?/ N( {4 Q
<P>destructor TTSPIndividual.Destroy;
% a# E- h5 u+ z0 ?% X! h. Q/ Gbegin1 z2 n3 x5 M/ y
SetLength(fRouteArray, 0);2 s1 L% |. G3 p' W- f
inherited;4 W J0 y" m% I
end;</P>% o6 A @8 r! A+ @5 m7 C( m5 d
<P>function TTSPIndividual.GetRouteArray(I: Integer): Integer;, K( u9 u" s" r) R L1 O
begin
& X% R7 R; C) p. N0 L2 a* v% kresult := fRouteArray[I];5 R# z# |7 s) G
end;</P>
) M6 a& M& o$ a* z<P>function TTSPIndividual.GetSteps: Integer;8 T- E# I) n; a! w$ s d: F2 M
begin
% B( I1 u6 A2 \% u* G3 g$ Iresult := Length(fRouteArray);
$ ], m" Z5 L9 I" Eend;</P>
$ ^0 a9 K% n0 G1 r<P>procedure TTSPIndividual.SetSteps(const Value: Integer);
4 ?. M4 Z2 W: R% l/ a1 n( u) O. e; Vbegin
6 m3 @! x5 m$ O, O0 BSetLength(fRouteArray, Value);
: O: G2 M& Q' g+ Jend;</P>
6 i- @+ J, ?( a/ Y3 P<P>procedure TTSPIndividual.SetRouteArray(I: Integer; const Value: Integer);2 e5 h' a; @' h" q2 U* U
begin
( b9 h1 A' o6 P; H! W2 H$ vfRouteArray[I] := Value;
* }5 X8 H; h. `0 b t' H5 h3 Wend;</P>
3 q4 Q" G5 l( j1 G9 t+ a4 h0 i<P>function TTSPIndividual.GetWeConstrain: integer;* O: n! J: v# ]$ P+ E& Z6 L0 X
begin0 a x6 t/ O5 H1 _! u
result := fWeConstrain;' s; {) l5 f0 _) G& l: _6 S7 J
end;</P>! u" W9 N. M* h" e! ~4 t
<P>function TTSPIndividual.GetBackConstrain: integer;. _+ b. f$ H" l/ a" ]+ M* h
begin1 D7 c. m. c! H: v
result := fBackConstrain;
, u( ~1 ^* ~" {7 c3 Iend;</P>
8 P) S, K9 W% v+ y& T- v<P>function TTSPIndividual.GetTimeConstrain: integer;, d9 v% J) B! j* }* `* i1 i2 l" D: k
begin- f; J0 ?2 l0 E% r% h$ _
result := fTimeConstrain;
& C0 P% z! R8 K m: T+ Oend;</P>0 `1 t. K4 K9 X* O* r
<P>procedure TTSPIndividual.SetWeConstrain(const Value: integer);& \ n; T, P/ w. p) @. S
begin
3 N# V+ H- Y& q0 j) yfWeConstrain := Value;. k( J* d6 ~ k* V) F9 w
end;</P>% y$ J# I- M2 _0 X" o
<P>procedure TTSPIndividual.SetBackConstrain(const Value: integer);1 u9 W2 G0 a0 Q7 G& y
begin! L% T# R2 O+ |9 Y c' h0 O
fBackConstrain := Value;- b2 b# j7 a& p+ u2 q* @
end;</P>
) a. E3 P1 l% z5 W<P>procedure TTSPIndividual.SetTimeConstrain(const Value: integer);
' e& l, z4 p1 n tbegin
/ T/ r9 ~. |, y. A9 [9 qfTimeConstrain := Value;, s: P+ s; }6 ?- M; x' \
end;</P>
5 R+ d/ h( C! g0 K<P>{ TTSPCreator }</P>
# b7 z* g, ?* I2 K/ K. q& E0 l" G<P>function TTSPCreator.CreateIndividual: IIndividual;! i: Y" I! T* O" n; y* l
var6 w+ E3 w$ I( W4 u. \; Z/ q
New: ITSPIndividual;
) t8 [% s+ C F8 Li, j, Top, Temp : Integer;
" o* _ Q. R7 n8 a$ R8 u//trav:integer;( F8 u4 [# T' r+ B2 r8 x
begin
+ X+ ^7 M( L7 o/ f// Get the number of cities
- N: v) k, m; i8 }- VTop := fController.CityCount; Z$ C) q; E; Z" U
// Create the new individual
( c: Y1 D1 f Y! j; [New := TTSPIndividual.Create(Top);
7 C3 D6 L5 K0 U// Initialise it with a sequential route5 [& [1 I( n- e9 \% G0 G
for i := 0 to Top - 1 do
" H3 r. u# }! L) U' c& c7 g& pNew.RouteArray := i;
( r5 Y/ j* Q7 E, }* C! }// Shuffle the route* e# j# g! v, D; w4 J: \
for i := Top - 1 downto 1 do
; B& B7 ?# M5 y; c V% ubegin; Q3 ]" V4 f. O$ k# \5 X# y
j := Random(i);
# N4 Z( M9 {" y3 qTemp := New.RouteArray[j];( n4 b2 b7 P& ~4 N
New.RouteArray[j] := New.RouteArray;7 p# S# F$ E) @8 o: [, D$ c$ j- O
New.RouteArray := Temp;
- ^5 d. `3 u- o" k, i7 k1 C* gend;
& a9 G. M- o2 jresult := New;
5 I+ }2 G8 _5 K$ }3 ~! }/ l. d: lend;</P>
( ^# n$ k+ X8 {! j<P>function TTSPCreator.CreateFeasibleIndividual: IIndividual;7 P) _# u7 ^2 x, Z: Z
var
3 p7 R' z8 B" G; hNew: ITSPIndividual;
1 F2 z2 q+ L; ^i, j, Top, Temp : Tint;' C# j: ]! }( i8 o% N; K0 A( T; z' L
Msg:TMsg;
0 }* c$ ?3 I \$ j* u6 O2 wbegin$ u1 ^$ f3 }4 N. M) A3 A
// Get the number of cities3 b7 `! b2 }8 p2 m& J) O/ I5 I2 f7 ]6 ?
Top := fController.CityCount;7 @5 S4 f5 G; S# E( k" C
// Create the new individual
% {! n9 W5 V5 l0 o& C! i/ i% zNew := TTSPIndividual.Create(Top);1 z9 g& t% {3 ^6 V u6 [! [
// Initialise it with a sequential route
% O2 H6 o% o$ q: d5 Xrepeat
# y# f$ E7 B# B3 }begin//////////////////////////////////
3 N- v' L& R: R) k g; ifor i := 0 to Top - 1 do% c) B: t5 Y+ C" }3 o5 Y9 c
New.RouteArray := i;" p) K! X s8 r; ^" p3 u
// Shuffle the route! s3 l# b. H+ V1 v b
for i := Top - 1 downto 1 do9 d2 j S2 l: u1 k1 t$ z
begin* b+ y% n2 f0 P1 z0 _' I! U
j := Random(i);
. [, K2 i& m' ?2 ]2 PTemp := New.RouteArray[j];% F4 ?0 t+ Z7 D- R& G z
New.RouteArray[j] := New.RouteArray;
! g" ~; L) q- I0 p" w; g. M4 ENew.RouteArray := Temp;5 h2 V1 z& R; s' n" b' e# z
end; A- S5 e! U) y' i0 }; s: ` ?' {
//process message sequence//////////) k! c; p8 ^3 g) {
while PeekMessage(Msg,0,0,0,1) do///! a8 L) m/ K, g' Q8 ?) d) _0 c
begin ///
/ c0 |. \3 s8 l* A& L8 Vif Msg.Message<>18 then ///
$ d: K0 l1 @! S# e8 U9 o, {begin ///
7 K! r6 L+ P# x! CTranslateMessage(Msg); ///
8 i- p* V) j& n D; `$ dDispatchMessage(Msg); ///, C) I1 ]& B; |6 Y5 z4 {" I7 E
end; ///* s9 o& c5 V5 e( e& S' R w
end; ///
$ {, ?* j& X) i' c////////////////////////////////////
5 g0 a& q* k$ \! mend
8 W% ?& ^* a3 l+ x; w5 x. suntil (fController.GetWeightConstraint(New)=0)and(fController.GetBackConstraint(New)=0);</P>- R0 G Y) Y( C. b4 e s! @7 ^
<P>result := New;. e: Q* _2 w$ n$ @. q$ I( }
end;</P>9 t& M: S3 k1 `" y8 n7 } t `
<P>function TTSPCreator.GetController: ITSPController;+ N( y- f" T) M+ f! P1 j
begin
0 Z: a# m% y3 Rresult := fController;" B. @7 M* Q( U! l
end;</P>
5 h2 b. D9 A2 M) J8 q ]( R<P>procedure TTSPCreator.SetController(const Value: ITSPController);" j! n* k0 r* F2 r( @4 C
begin( f$ y# D/ S0 Z6 {
fController := Value;& [$ T; R8 S" u+ x; z0 Z
end;</P>5 K# p X X* h+ l( W+ p( N
<P>{ TKillerPercentage }</P>
9 z8 G% S/ P, q) M<P>function TKillerPercentage.GetPercentage: TFloat;
; J; x" Y# z: q8 Tbegin
( x" Z9 p2 H6 R0 t/ [result := fPer;- p+ M# Z" }0 L$ D; b
end;</P>
& m6 {0 \+ {* G9 Q1 T$ N<P>function TKillerPercentage.Kill(Pop: IPopulation): Integer;
3 o& \0 c9 j- v$ I" e ^6 x# O$ Ivar
" S' m/ C' B; c( O" o% LKillCount, i : Integer;* \% z: w! T9 P, m% K! \/ O/ c
begin, @6 u8 B* t* S# z, |- A" T2 T
// Work out the number we have to kill/ ~( E" S, b/ J; G% T
KillCount := Floor(Pop.Count * (fPer / 100));
. I9 l j) j) J6 F% S3 t# {/ |5 P// Delete the worst individuals - assuming the population is sorted
* l( V5 Z& r) D& n- _7 f/ p! ~for i := 1 to KillCount do
9 J- a6 n* _# l) K0 pPop.Delete(Pop.Count - 1);# H. a7 l' _! m8 J# J/ n3 [0 X% U
// Return the number killed
" s# [; [* u1 x' I4 ?1 ~( X0 m$ AResult := KillCount;6 \% a2 F. o! \
end;</P>0 P0 F( w5 @7 Y) @3 D1 m/ C) a
<P>procedure TKillerPercentage.SetPercentage(const Value: TFloat);3 v+ \% R2 Y$ m( |" l6 _- V* t
begin
; B/ N" A/ B5 [$ {; _fPer := Value; j+ ^3 z8 f' o; ~$ @+ K
end;</P>; n( V4 A$ d8 Z9 V
<P>{ TParentSelectorTournament }</P>8 `/ E* a4 H$ ^3 Y
<P>function TParentSelectorTournament.SelectParent(0 u6 @2 x/ c0 I
Population: IPopulation): IIndividual;, K7 P3 h5 i2 D3 j4 v
var
# s- j: I. ` E* ^i1, i2 : Integer;
& e5 |+ F# i/ L" Rbegin7 D/ |# D3 m$ A+ t9 b7 C
// Select a random individual
' q- v2 i1 o) g8 Z" Ui1 := Random(Population.Count);5 n) p) r& |( {; h" e. Z
// Select a *different* random individual3 w: a- M- O$ |( z$ {
repeat
9 f: i8 G6 U* T( [2 a( h5 {5 Xi2 := Random(Population.Count);7 @& e' G& Y! j, M% P! A- r. g
until i1 <> i2;& s5 A% c' s% ~
// Hold the tournament and return the fittest of the two
, m S! q6 D& _4 J/ ?% E% x3 X7 dif Population.FitnessOf(i1) < Population.FitnessOf(i2) then
+ |% y: d( w7 MResult := Population[i1]9 Y+ O3 J' p3 U1 d8 j/ Z- G
else
6 B4 I4 o" C- G% B3 |Result := Population[i2];
M$ g* a6 X* ~% ?. `, b% v8 Lend;</P>7 t/ y4 i0 J, R8 h8 S
<P>{ TTSPBreederCrossover }</P>
+ u, F. q% O6 u( k: {: ~7 r<P>function TTSPBreederCrossover.BreedOffspring(PSelector: IParentSelector;0 h$ x5 a5 T0 G$ r
Pop: IPopulation): IIndividual;
/ D2 h. [/ g Z( ]5 C1 c: @: a- Kvar
* o \: c' i- P; WChild, Mom, Dad, Parent1, Parent2 : ITSPIndividual;
7 O" G2 j& L$ ~: ji, j, p : Integer;</P>
/ x) j7 x7 Z( s& E- z<P>function AlreadyAssigned(City, x : Integer) : Boolean;/ }( e ?1 M* D
var/ [5 ]/ f9 N* w; q0 M
y : Integer;* B* X3 ^7 k1 h! y
Found : Boolean;
. H/ G: }7 F( D2 D' C Nbegin 0 w8 W/ a; i* o& B) S7 h
Found := False;
. K6 X: ^, P2 u9 o: W! l( c. @( [for y := 0 to x - 1 do
5 I" I1 h- r9 A i/ Obegin; Y0 F+ ]* y! ^( @& Q
if Child.RouteArray[y] = City then
& a6 i9 p. ^- W. l5 s6 r+ ~" Xbegin
# Q: `3 x( O6 U7 F8 CFound := True; ; D! [1 i9 P8 W9 d3 c
Break; % B0 o" ]+ K2 |$ Y! y
end;
, I/ u4 ~2 n1 p2 d4 `( ?: Uend; - T; A$ i8 T; `/ D6 R
Result := Found; S3 h% X. Q8 w; J2 {, ?
end;</P> `/ }0 x* i5 k% L+ k8 C# x
<P>begin
$ b/ `- X6 J& e& t8 g// Select a some parents...
4 N" U! g; a; T3 HMom := PSelector.SelectParent(Pop) as ITSPIndividual;
' p4 O1 z; F# R; C- e0 p' V5 gDad := PSelector.SelectParent(Pop) as ITSPIndividual; N, m/ I2 ?* S8 F' I7 [ ]
// Create a child* O& r# v: [2 q" [2 V1 u1 q
Child := TTSPIndividual.Create(Mom.Steps);* q1 v5 q6 u* D; L0 o
// Copy the route from parents to child $ Y' P4 R9 t5 M) B
for i := 0 to Child.Steps - 1 do
; a* _ e# {% b& c3 |/ e! D# Rbegin / c* k0 U" _4 P/ j( W2 P
// Choose a parent at random q" d/ o; O' [5 _% ~: V
p := Random(2);
3 j. H6 L& k" d: c: g4 S& Fif p = 0 then
+ K% _! T# [7 z3 {1 I$ }+ X; p5 jbegin " ?! `- q& F p7 H! g
Parent1 := Mom;0 p2 F. o7 U% C. y" Y7 n, Q
Parent2 := Dad;3 O+ m3 @* i {% T+ i( ]
end else 7 \( t% j; h. j* V' n
begin
1 m& @4 }( ^) ?0 H( IParent1 := Dad; ; p9 T" W) O; N& T J' p7 f+ l
Parent2 := Mom;# A0 a% r0 T5 R& m, I
end;
9 N% ?. J9 e I" j* B' a' n! i" lif not AlreadyAssigned(Parent1.RouteArray, i) then 0 k0 z7 u T' A- t2 o( e( O
begin
! g5 s" ` f& g/ [+ X7 r// Use city from Parent 1 unless used already $ n( c9 K4 ^5 I7 V
Child.RouteArray := Parent1.RouteArray; " k1 V, D" A* J! G/ @# c3 M+ d5 P
end else
% q' N9 O* O: V- \% a! I, N, O; wif not AlreadyAssigned(Parent2.RouteArray, i) then
6 }3 ~% Q; u# {; [! Vbegin 7 z* v, m5 i5 ]% \
// Otherwise use city from Parent 2 unless used already
7 p: p- ]0 h) ^; l9 nChild.RouteArray := Parent2.RouteArray;
1 B1 X/ ^0 i/ V/ W$ e, {' n7 Hend else ( a1 A# U0 G; R5 G/ h; w
begin 8 @- F8 O: Z K/ N) m
// If both assigned already then use a random city
9 @8 h2 `6 {( U4 G5 B' j* m" r Jrepeat 6 M" Y6 ]7 E! c) b+ }
j := Random(Child.Steps); # v" V/ s4 q8 t" \7 u( \
until not AlreadyAssigned(j, i); " A5 I" [5 K" |9 E
Child.RouteArray := j; " v8 i# T+ b( g( ?2 j! ` i- ]
end;
2 r) Q H. Q' s4 v8 [6 Eend;
; v0 ?& x& m, G) U+ E8 }! x// Return the child
x1 [( U" b3 x! y( vResult := Child;
( F4 r) m3 b" A6 g5 mend;</P>
; @3 `! a* ?7 F9 K; h" d. E, M<P>{ TTSPMutator }</P>& L4 F) n$ F7 K F) m7 H
<P>function TTSPMutator.GetInv: TFloat; [! o2 R2 }5 y# J, ~" e& f
begin* y) {/ C( k( _) E& C) f
result := fInv;3 {! E p* M3 ?5 H
end;</P>; R0 \5 I/ ?. B* r
<P>function TTSPMutator.GetTrans: TFloat;, k4 S1 u3 E8 o
begin
1 |9 {7 q Z+ fresult := fTrans;7 ^% `5 ?$ ]- E; h" ?- g
end;</P>
8 t4 L' `2 y! i<P>procedure TTSPMutator.Mutate(Individual: IIndividual);, f0 n, S; S9 j4 n/ q: M5 F
var0 q' L& k5 s7 \9 k0 D2 ~, A
P: Double; 7 c4 U" s$ y0 w& u2 u
i, j, t : Integer; Start, Finish : Integer;
$ @: p; T7 d$ Y( Y+ _begin % S& F9 S2 B/ r% V& i
with Individual as ITSPIndividual do B/ U! a& d* d! F% ? F4 @
begin 5 ^/ \/ M& ~" K0 G$ A
// Should we do an inversion?
# Q7 x: H9 j; G8 CP := Random * 100;6 k* S$ L* r) C) d0 ]$ Q p
if P < FTrans then
" j, I& c9 r9 Tbegin
6 T" L. l* P) B @6 K4 Y+ h; e; G& k// Do an inversion (i.e. swap two cities at random) ! H. L2 z* `1 U& O
// Choose first city) f* `: p! Y# E3 `/ z% m; C
i := Random(Steps);
' H9 M" r. b! F6 m8 i4 g. y3 u// Choose a second city
/ B7 S% H5 {' o# ~# Erepeat * S& h( t7 G! E9 x
j := Random(Steps); - I' Q/ T; i. E4 R1 J* p
until i <> j;
- H6 h! I9 V9 J; m// Swap them over
& p: d9 d W' d& o( V* \t := RouteArray;$ o+ x" s, `+ v+ }5 \; p4 a
RouteArray := RouteArray[j];
7 Q% a6 K4 j3 W6 P: ~7 |RouteArray[j] := t;
4 ~4 A) _, s" g$ H# i# }& Tend;4 y' I5 w! w; A1 ~* _
// Should we do a transposition?- w$ P* H% E: @8 O& o
P := Random * 100;$ w j; ^7 H+ h( K. ^
if P < FInv then
& l& |8 ^/ K( r* mbegin0 y% \1 z* v4 ]1 X+ E. H
// Do a transposition (i.e. reverse a sub-route)! [6 L( i N0 p1 J6 Q
// Choose random start and finish points6 C0 T; O0 L( k# a& y% F
Start := Random(Steps - 1);
" y% d2 [9 M* M) j6 mFinish := Start + Random(Steps - Start);8 r& z" o* f1 N
// Reverse the sub-route
1 X9 E9 T m& v0 _/ `( m2 Xfor i := 0 to Floor((Finish - Start) / 2) do
8 G% n% o" t' n4 X; ^# @& kbegin
0 b, R6 R: Q. d1 s$ }! Bt := RouteArray[Start + i];/ ^: g2 ?: G5 m S. a
RouteArray[Start + i] := RouteArray[Finish - i];" W0 g+ ]( D& l+ U: ~3 M; V
RouteArray[Finish - i] := t;
" V5 D$ v8 U; ?* lend;
1 D: a. T# W d( ]) t3 S% h7 w) \end;" I" g6 a. e' ~: |* A# W
end;' l3 I/ ]1 [6 f- e1 b2 _4 A' ]# V
end;</P>
" t) a r2 U. U& U* n3 D0 s, ?& F<P>procedure TTSPMutator.SetInv(const Value: TFloat);
, [3 G' P; H" O$ b0 y; Lbegin* A s. B* s' h6 |$ j; i
fInv := Value;- z) S0 X5 f* ]1 O! I5 G
end;</P>
) Z X& d* z' r8 l0 D/ b1 c<P>procedure TTSPMutator.SetTrans(const Value: TFloat);
. d2 `' M- R ^begin3 X, n: q+ D5 W3 d5 i# \
fTrans := Value;9 K1 y# B4 K" _( m9 Q/ F
end;</P>
7 C9 j, d3 Q8 T<P>{ TTSPExaminer }</P>
1 }1 I* w1 G& |' a5 b: Y: [<P>function TTSPExaminer.GetController: ITSPController;
) p* g- G5 M0 I& @6 qbegin. u5 ]2 b1 q9 R9 O4 c- E, c
result := fController;
( L5 [( F! I0 x+ Q U+ [end;</P>
* b# f2 a0 G0 o+ H. s! ^<P>function TTSPExaminer.GetFitness(Individual: IIndividual): TFloat;
+ _! G8 ~3 d. I0 avar
) C2 a P% F6 z$ S8 Ji , weightConstraint, backConstraint : TInt;
* t9 ]1 h+ C/ pDistance , penaltyW, penaltyB : TFloat;1 V1 v, G$ b" ^! S, ]; o
Indi : ITSPIndividual;
0 t8 f: q7 g) b0 S4 C: @" ]begin% v5 U s* ~! a" O: u U% [
Indi := Individual as ITSPIndividual;: G. H, B/ I/ X2 |% I- P
Distance := 0;. j; x5 I- ]) q, Q. B/ U" r6 F
penaltyW:=FormGaPara.EditWeightConstrain.Value;
- U4 c; ^7 `& ]' W( p; n' spenaltyB:=FormGaPara.EditBackConstrain.Value;; Q6 Q& V6 w+ @$ L
for i := 0 to Indi.Steps - 2 do/ X' j+ ]% r$ X t( j/ I- }- c
begin
# @1 e2 A: h5 N: @: XDistance := Distance + fController.DistanceBetween(Indi.RouteArray, Indi.RouteArray[i + 1]);: C, @* R; U% N, |! q6 B* ?
end;1 T& ^/ Z- J. i3 {
Distance := Distance + fController.DistanceBetween(Indi.RouteArray[Indi.Steps - 1], Indi.RouteArray[0]);
/ `) {7 Q+ h: t$ m( h$ R8 X: _3 X1 wWeightConstraint:=fController.GetWeightConstraint(Indi);% m+ J' w2 ]7 g0 e L5 ]# a
backConstraint:=fController.GetBackConstraint(Indi);
% o9 T, K9 W! R: v, l eIndi.WeConstrain:=WeightConstraint;
3 Y# @) `% d5 SIndi.BackConstrain:=backConstraint;
' d! h `" \0 J+ z7 h3 {1 GResult := Distance+penaltyW*weightconstraint+penaltyB*backConstraint;# P+ u9 ?* ^$ k8 z% n( o6 d
end;</P>$ x8 ~4 T& l8 ~: Z3 b7 o
<P>procedure TTSPExaminer.SetController(const Value: ITSPController);& a$ U! \9 o K9 a
begin1 W: n# ]' y, [( R* {8 {) N
fController := Value;
4 u6 l" w, L* y2 v% mend;</P>
5 u$ W' e# F8 ^8 m<P>{ TPopulation }</P>" c0 V, ^7 B6 i6 J3 h
<P>constructor TPopulation.Create;
6 v$ w6 o3 P, i- z3 ~1 c6 Vbegin, U, i* a: J4 ^2 L- W7 y
inherited;5 _' Y# Y0 F! D) V
fPop := TInterfaceList.Create;
. I- y! t: P t2 T% k% y3 Zend;</P>3 T( i! ~' L* G
<P>destructor TPopulation.Destroy;$ |) I1 J& a! k9 e* g `5 V
begin, s+ h% y, Z% _7 J7 r* j' k8 U" M" `
fPop.Free;
5 `* k u3 p f- I$ C4 o, o! P2 uinherited;( E$ I% _% S* f
end;</P>
) n# ?* J; n7 G<P>procedure TPopulation.Add(New: IIndividual);
A+ q3 U( g; s/ f- Nbegin
5 O. D+ P6 c+ B- AfPop.Add(New);3 x% V$ k# A/ b" j' g# d
end;</P>
4 v+ Y0 E2 z9 w& e3 }<P>procedure TPopulation.Clear;
. w: {$ |( X* A8 U9 qbegin
8 ~8 u& M, M" d& ?fPop.Clear;- j& {1 N, h6 j7 m
end;</P>
7 b4 A+ j; ]7 H, v s<P>function TPopulation.CompareIndividuals(I1, I2: IIndividual): Integer;
; z) b. T1 [5 z, C2 mvar
9 F1 I+ E' h/ J# Z; M2 eA, B, D : TFloat;
$ g% c- J" s' Q# x# ?3 \- s& Obegin
- f6 |6 m6 N8 q* p R) j, i3 D# e// Get the difference between the two individuals (real number)
5 A' F3 p* ]( q7 A: g: O) e6 f% SA := I1.Fitness;8 J& v% ~ z$ p' N, B+ H
B := I2.Fitness;</P>
2 A2 T" B! I% F: n<P>D := A - B;</P>
& L- ^3 M0 E% g7 M3 D' T$ O) Y$ R<P>// Quickest way to convert that to an integer is...: U3 h6 N5 U: B ~5 Z0 n1 G
if D > 0 then( b/ Z: y4 z6 w
Result := 14 p- h# o$ A" I b
else if D < 0 then7 L( `2 h; r' R
Result := -1
" _- t( ?0 [' Yelse3 Z. _4 E, H3 ^4 P! p
Result := 0;7 z3 P n" U' G; w9 Q) t* U- A2 b
end;</P>
/ O6 r' T) l! B$ X5 ]<P>procedure TPopulation.Delete(I: Integer);. N$ }0 _! b* w5 E& f, P
begin
* `+ J O! z4 V; z( M0 @+ zfPop.Delete(I);
0 c4 z3 g- Z1 zend;</P>
' E p' _: L5 x+ ~/ f5 H. X<P>function TPopulation.FitnessOf(I: Integer): TFloat;
% [+ p6 n: P1 Pbegin! X: \: o3 d% f
result := Pop[I].Fitness;
% x% u) P9 \, Z4 vend;</P>; a2 f) J6 K! M4 C
<P>procedure TPopulation.Change;
6 H( D( R8 I- l2 f3 |begin' \$ @; F* H' Z1 |$ N
if Assigned(fOnChange) then
5 ]9 e$ F# x9 DFOnChange(Self);+ `- E5 p) A9 w( p. ]3 h
end;</P>: [9 e; B/ K0 D3 x: L- m+ b7 M/ T
<P>procedure TPopulation.Generation;: d! J( D$ a' X! Z; @: z; l- i2 n
var
$ j9 `2 D2 F" x4 n/ f0 nReplace, i : Integer;. U1 L9 S" v/ t: U! y
New : IIndividual;3 Z; U% w, r/ ^& y0 n: z% z$ [
begin- b1 P3 h! G5 f2 @7 l7 ]! r) m
// Kill some of the population! Y7 y. v+ Y; j2 W" L
Replace := fKiller.Kill(Self);</P>
( C7 J) q4 J# G5 h<P>for i := 1 to Replace do$ |, w. D0 J. j k% b2 U8 [! d6 L$ B
begin
% x s5 U( ^ K2 Q// Breed a new individual4 u& z! m' X4 c) V" q
New := fBreeder.BreedOffspring(fParentSelector, Self);* [/ [3 j& s3 U# `8 Q3 p4 X# l
// Perform some mutation on the individual
0 U1 H- i' e! l' T* a o3 B7 [3 QFMutator.Mutate(New);5 E3 L/ l1 O9 Q- h4 _) F* Z
// Get the fitness of the new individual1 u: Q- S" R1 v. [
New.Fitness := fExaminer.GetFitness(New); O( N5 K5 d* j1 |7 n* @. |9 u
// Add it to the population& ~6 o& f7 Y. E& \, G3 ]
Add(New);3 [ ]! h( t# |8 [
end;# }5 { B/ M7 {& u* g/ Y5 Z! ?
// Sort the population into fitness order where first <==> best6 \& I; T: Q: G
SortPopulation;</P>. Y1 n: L! M, P) v
<P>Change;
3 o4 P1 \0 Y9 t" [8 K vend;</P>& C0 m/ t$ l5 c. Q: X, ~5 d
<P>function TPopulation.GetBreeder: IBreeder;) ]- e% S+ n3 R, K/ L9 U
begin1 B( ~( T" _$ L2 l) f
result := fBreeder;# L" J3 M) s: g
end;</P>
! u, H( ^+ k( t1 p o6 x: X<P>function TPopulation.GetCount: Integer;
8 R3 q" b5 T" M, O) D6 Ibegin
* _! y" ?$ O$ N6 b2 y6 lresult := fPop.Count;
, h6 c E/ L0 y6 i6 f( ^end;</P>
' @ S( r, K3 }<P>function TPopulation.GetCreator: ICreator;+ V( l% q: s- } Q8 T% i
begin
% |6 g4 n9 J r( x; zresult := fCreator;
3 U0 Y% | B- c% O. x/ oend;</P>
+ m3 W# D5 _1 c/ w' ~3 o<P>function TPopulation.GetExaminer: IExaminer;3 D) e& v" K) B6 x
begin
+ a5 [- f, @( @/ V" c# vresult := fExaminer;* p4 d+ \, Y! x
end;</P>% e# ~; t, I2 c1 ?
<P>function TPopulation.GetIndividual(I: Integer): IIndividual;/ p- W1 t# W6 E& `) E. D3 U
begin0 d0 D4 r/ L- `+ K. F
result := (fPop[I] as IIndividual);/ `0 X% ^8 o$ ]
end;</P>+ S# |: r4 }" p6 M X' G) }
<P>function TPopulation.GetKiller: IKiller;
! ?& N9 K7 C3 j! [$ fbegin
( j. Q" [: Y$ x0 m) {. {result := fKiller;
9 P9 k" v* f* n- s* e F% qend;</P>
/ n+ l- N9 N6 S3 B/ E) w9 H<P>function TPopulation.GetMutator: IMutator;# n9 w7 ~ x3 I" H+ ^" A7 n
begin1 H& f: r& s# X6 s) J9 Y0 Y7 N
result := fMutator;
: t) a3 |1 u; f7 f; aend;</P>' S. H4 q& G4 {7 p3 s6 m( q0 R! e
<P>function TPopulation.GetOnChange: TNotifyEvent;% A6 w5 [' Z7 n: N7 O
begin# [/ @- P; S8 ]: u" {) K
result := fOnChange;
. W( M/ c+ @( N; ?end;</P>; \# C' T. c ]+ v" I3 F) K
<P>function TPopulation.GetParentSelector: IParentSelector;, y5 R& ^6 B& z. t
begin
& Q! ^/ {% R2 z: ~result := fParentSelector;" H& H% B3 ^; j
end;</P>
* E) Z* c5 B' a0 n5 f<P>procedure TPopulation.Initialise(Size: Integer);/ q. [9 a& e8 ?
var% X+ F8 ~) T8 U6 y8 M5 D
i,feasibleCount: Integer;
6 `% O: @6 k8 e# Z+ Q; D9 p9 wNew: IIndividual;
1 n( M( ]. L$ i; E& u; Ubegin9 X* u1 K$ f7 G4 s7 K
feasibleCount:=round(size*(FormGaPara.EditFeasible.Value)/100);
1 K4 j" o8 }& b) T//feasibleCount:=1;5 |8 Z s' d5 D. ]
// Clear out the old stuff
, t0 v. p V) t" DClear;
+ o8 S+ [" J% {% s% O// Set the capacity first to save about 12 nanoseconds ;o)
9 e* j- r# O* @* d4 \. kfPop.Capacity := Size;
6 l% N4 `' S9 h// Create the appropriate number of individuals( H5 r% P' `7 O! A- l1 g
for i := 1 to feasibleCount do
t( @4 M, s8 b" c7 O. U! M' |: dbegin# ^# Y c- a# m# B
// Create the individual
/ t8 n2 A3 c F: Y9 A" K1 kNew := fCreator.CreateFeasibleIndividual;
5 y4 q0 ?& N% S) G1 Q; p3 S* p// Get the fitness of the new individual
, n: D u1 c8 Z4 [+ i& l6 u3 H/ UNew.Fitness := fExaminer.GetFitness(New);
# W* m3 `0 f$ G4 N- c6 {// Add to the population
5 D$ v4 t" m* X$ A! D# e7 ZAdd(New);
* U, M9 z, z; H! uend;
* j+ d- z, j2 v8 k6 w( xfor i := feasibleCount+1 to Size do
) g; z. T$ ?# o, P. w4 V0 C7 }begin: J7 Y4 C1 }1 I6 l& A
// Create the individual4 h d8 v. ~/ }0 Q8 F7 p
New := fCreator.CreateIndividual; ////////
0 [8 J {4 r# |, Y6 I! F$ }// Get the fitness of the new individual
' p3 S7 x9 ]9 kNew.Fitness := fExaminer.GetFitness(New);; s: ]! \2 o4 _5 O- x# K
// Add to the population& C @- ?% b+ R3 j- u: u
Add(New);
" `. m. t2 O# e: Bend;5 ` l* C' F1 q I2 x5 @# P
SortPopulation;
8 S7 ~& o1 F a1 u, a$ _Change;
8 L0 U. M0 F; b; C. F3 Mend;</P>
) Y6 U# U5 |4 ]: i7 {. a4 E! t( G8 B<P>procedure TPopulation.SetBreeder(const Value: IBreeder);% Y: k( @8 M3 _2 o8 J) c4 A
begin
5 u! J* w2 }4 B9 t$ r9 D6 t% mfBreeder := Value;8 {/ s F7 V: G* e/ T- I# o
end;</P>
" c3 {( p2 z0 o<P>procedure TPopulation.SetCreator(const Value: ICreator);
- S7 l( @1 v" a) t W4 [begin
; j9 E: |3 d( F9 L. _( efCreator := Value;1 b. d, Z) D* w/ V G$ B
end;</P>2 }3 u! s( B: n! B4 m
<P>procedure TPopulation.SetExaminer(const Value: IExaminer);) o# K$ v) O0 Z; u. b6 Y
begin7 a. j; }0 ]% i- `+ S
fExaminer := Value;! ^/ D |2 b! y* f: m) |
end;</P>' i5 J- n+ r: ^1 _; }) v
<P>procedure TPopulation.SetKiller(const Value: IKiller);
4 L! M- q8 [; \8 N; ubegin
" ^$ z3 Q8 h% J. T, h/ _* }8 bfKiller := Value;; u* F( s6 d: t! c( U
end;</P>
% ?3 u# w2 a9 L8 c<P>procedure TPopulation.SetMutator(const Value: IMutator);
' J8 j( U5 v' H! ~begin+ n) x) [5 R. ^, G: k Q+ m, q, w
fMutator := Value;% H8 ~$ j$ T% L9 Y
end;</P>+ f$ D% r: U# B0 f. ^( J
<P>procedure TPopulation.SetOnChange(const Value: TNotifyEvent);3 x* a, s' y! N6 h
begin
4 W n* B7 F/ V, \# k* ]" RfOnChange := Value;/ B8 }8 r0 f0 w; n& c5 T
end;</P>, H- [ M. `$ c6 j2 I4 C
<P>procedure TPopulation.SetParentSelector(const Value: IParentSelector);8 O X5 R) w, C( ~8 i
begin: M9 q# l& g" U, R/ A5 B+ G
fParentSelector := Value;; l- [8 |9 ^) q7 \, w3 k8 F% O
end;</P>
. B8 ]& s. B. z<P>procedure TPopulation.DanQuickSort(SortList: TInterfaceList; L, R: Integer;! u. o7 Y; o8 k! v' F
SCompare: TInterfaceCompare);
$ }% G. X' c# {% j7 r! y- ~var2 u& l* Y4 v4 Y8 S! x* `8 P
I, J: Integer;
/ T$ J+ E! Y3 E* rP: IIndividual;
. W& U$ |* x, H6 E' }: c8 S. Obegin8 F7 L8 X8 }- M7 O [9 `$ d/ m
repeat+ ^8 a8 c7 P2 H% L/ b
I := L;; W8 s+ O" `( \! d
J := R;7 z: z# e) a/ h/ E2 @+ e# _
P := SortList.Items[(L + R) div 2] as IIndividual;; A9 m4 T9 g. B# G3 |# o
repeat; b* w4 W8 e; ~- Z6 A. o
while SCompare(SortList.Items[I] as IIndividual, P) < 0 do
- y! n( I1 e2 y$ J+ X# S( r6 r+ vInc(I);
$ y' a5 a/ C! o* j; S( ]- V, ^4 ewhile SCompare(SortList.Items[J] as IIndividual, P) > 0 do
6 m6 b* ~! G& ?6 o2 ] q: NDec(J);- g; j' f' ?% n; y0 s- j
if I <= J then
: s1 G) o1 C; C! o% a$ \5 W- nbegin/ d* H. N; z+ v: r' q6 r; O; B
SortList.Exchange(I, J);
% P7 K& R; L; w) R, o2 F% VInc(I);
' l/ W* x$ A0 Y1 M: X/ [* zDec(J);
' @% E# v0 A% g( H+ Uend;+ g. u1 C8 ]- u ~* |9 n
until I > J;7 }7 D5 _* I, u Y# J
if L < J then4 L# m# |. |; G+ K
DanQuickSort(SortList, L, J, SCompare);
: C( m* E7 B; yL := I;
0 g( X8 o/ Q8 X" S* {' Z) Nuntil I >= R;
5 P- p! }0 U X8 H$ S; Dend;</P>& P# j1 v' |: A$ Z ?; y6 v
<P>procedure TPopulation.Sort(Compare: TInterfaceCompare); i* z+ {5 X! s& N5 R7 @# [
begin
6 d9 B* t( k9 s9 Yif Assigned(fPop) and (Count > 0) then
4 w: ~( B' J: R# \DanQuickSort(fPop, 0, Count - 1, Compare);7 ^$ f( R. f- H0 D n" \0 k- \
end;</P>2 N( V* k0 y _% _4 Q" Y
<P>procedure TPopulation.SortPopulation;
! b2 E. \+ z* P0 L/ s; Wbegin
" B( H% l9 R( Y y6 qSort(self.CompareIndividuals);( G) W% \/ f$ g$ x' l* {
end;</P>
/ E$ S! s& [' m) C& d<P>{ TTSPController }</P>
6 n0 S. P& }8 s; I& }) K! A<P>constructor TTSPController.Create;
2 C. d$ U V3 D4 ~1 z- n# jbegin
3 k# g8 [% w& S, [inherited;
7 S2 r. I& ~4 p3 w% n; Xend;</P>- `3 s; U- n ^# r' J
<P>destructor TTSPController.Destroy;
: ]8 G2 a* _6 Z5 v" ~begin* `" q# ]1 l5 a
SetLength(FCities, 0);
9 O! ~$ S9 X' e& iSetLength(FNoVehicles, 0);
1 A* z" i& b* T- y0 m* M" x# cSetLength(FVehicles, 0);5 E) J7 |( @" }" X$ `* i! t* C
inherited;
" c) }& l2 ~! z! ]/ Gend;</P>$ I( }: v& v& Q: z: E2 S
<P>{ Standard euclidian distance between two 2D vectors... }
4 p) P. H3 h* ~( R1 u$ l. tfunction TTSPController.DistanceBetween( C1, C2: Integer): TFloat;
5 }; E9 c2 d4 d5 ~2 \* ]# k: dvar
: O' Q1 V& ]8 D7 o, ytemp:TFloat;! ]2 b U) i2 \8 H. i1 z; Q8 W5 Y4 W
i,j,intTemp,intTemp2:TInt; 9 M' R3 S( L9 i7 \8 p
begin) R9 l6 U' J& H4 H2 I
intTemp:=0;4 _4 _) A$ w( `
temp:=FormGaPara.EditWrongConstrain.Value;</P>
9 k: F7 L, U2 J9 y0 Z, Z<P>{if (Cities[C2].id>=1)and(Cities[C2].id<=fOldCityCount)and(Cities[C1].id<>0) then
' o$ d! o. ^2 a7 M" obegin
1 Q3 s; H/ z" }& T1 lfCities[C2].serviceDepot:= fCities[C1].serviceDepot;
g0 Q1 r/ w9 y# f9 W8 P# bend; //}
7 Q A) v2 }4 g' X+ u" B//8
& c. H3 F; a$ p3 }if (Cities[C1].id>=1)and(Cities[C1].id<=fOldCityCount)and(Cities[C2].id>=1)and(Cities[C2].id<=fOldCityCount) then& ]+ I6 X' C2 N, N
begin. A# M$ Z B& T, |0 ~1 z
temp:=CostArray[C1,C2];
0 f: r) \ |! Y" \1 I# a9 k8 Bend;/ R% i# |' A6 E, Y% [/ Q
//10 _" H+ b& k* y7 K: s/ M/ A+ g
if Cities[C1].id=0 then
( u) N2 x) X) Z% a* P& v. Lbegin" y# m$ `; x# e+ R9 W/ u. ~
for i:=0 to fDepotCount-1 do
% m2 ~: G4 T( f/ O( d* T6 z) obegin9 s" K+ ]1 {- |, U$ y& ?' O
intTemp:=intTemp+fNoVehicles;
/ T% G- m- \8 n9 \( x vif Cities[C2].id =fOldCityCount + intTemp +1 then' @8 Y- F; X, t: {8 N5 G# e
temp:=0;# q/ r% X2 ~8 d9 H, L
end;' q5 n3 P7 ^ a0 _6 c! f
intTemp:=0;
: [7 B: A6 ?2 b6 Q" @end;
" B; i6 U8 u( A3 q' m//2- Y2 r5 q6 B" D
if Cities[C2].id=0 then
8 @/ h2 @" O* k' f' f5 w4 Ibegin
8 I3 W& D8 P/ c! I3 z3 mfor i:=1 to fDepotCount do H# O! Q7 A0 Y0 j! K
begin
" K; l5 D6 \. s1 M5 DintTemp:=intTemp+fNoVehicles;
/ J" a5 e+ j5 {3 e7 l* Gif Cities[C1].id =fOldCityCount + intTemp then% r: _) V5 t3 K ]5 K
temp:=0;9 [4 e( N7 G1 x# ?- ~+ P
end;
/ t- K8 d% e2 Y: g8 J' m iintTemp:=0;
$ u; u6 X. E" h+ aend;2 Z1 b! m# ?, k2 L8 B4 q- B, z
//5
2 {. b; J$ p2 N+ a) {9 L% y. Lfor i:=0 to fDepotCount-1 do4 |' O4 }' |' _! V3 i: `
begin4 u3 P- }) ~; C, p# d! o( m# w
intTemp:=intTemp+fNoVehicles;8 F y' g6 e ]* ]4 p/ n# j* c; _- f
{ if (Cities[C1].id=fOldCityCount + intTemp +1)and(Cities[C2].id=Cities[C1].id+1) then
# f8 ~/ r4 A2 B* X( }temp:=10; /////////////////////////// }* w" @1 Z& U/ y+ X' I R, S
if (Cities[C1].id>=fOldCityCount + intTemp +1)and(Cities[C1].id<=fOldCityCount + intTemp+fNoVehicles[i+1])9 b8 t# Z) w; i4 K& D5 Y7 Q
and(Cities[C2].id>=fOldCityCount + intTemp +1)and(Cities[C2].id<=fOldCityCount + intTemp+fNoVehicles[i+1])
) W9 m/ x8 M( T' Dthen
1 U, e- G( O, ~ o) P( @temp:=0;//}" Y( \* e m$ a0 T2 a: @
end;
$ B# H: g* F2 `! W) I( Q8 H8 X2 n6 jintTemp:=0;$ b' a5 b0 y/ @2 M5 t D
//7
* V' h4 O6 p2 S6 W- ]. zif (Cities[C1].id=Cities[C2].id)and(Cities[C1].id > fOldCityCount) then1 x2 i& ` V9 U! }$ M- f+ A
begin
( f8 J% J2 ^" y$ D0 Wtemp:=0;8 S0 {% g. V: c R1 _
end;1 h# ?: J# g2 r
//3" A) P: l3 P4 z7 [
if (Cities[C1].id > fOldCityCount)and(Cities[C2].id>=1)and(Cities[C2].id<=fOldCityCount) then : p$ T) X! h- _. X( F
begin
, j: c2 `- p5 W0 T+ z1 q' z//temp := Sqrt(sqr(Cities[C1].X - Cities[C2].X)+sqr(Cities[C1].Y - Cities[C2].Y));
4 S! _* t6 H1 B8 o0 u, Ztemp:=CostArray[C1,C2];
: i+ @/ ?& B* G4 h7 i! Y: r Tend;
" a* V& h: b7 R& `1 I0 _6 ^//4
, o! y( X% L8 r, J f4 aif (Cities[C1].id<=fOldCityCount)and(Cities[C1].id>=1)and(Cities[C2].id > fOldCityCount) then
6 [) Y) j, Z$ ]: f$ V6 D% pbegin
8 L# I5 P% h; Z! b//if Cities[C1].serviceDepot=Cities[C2].serviceDepot then //back to the start point0 Z! g% i* T' n0 ~
temp:=CostArray[C1,C2];
0 e+ E2 J I, l& ^end;
1 g2 A$ {" D8 F! I' L; a9 W//6
6 ?0 J- [' H l2 Z0 uintTemp:=0;' j w. K' Q/ p9 z# H7 n/ D7 y8 |6 c
for i:=1 to fDepotCount do % V: g4 p, U3 \: C* H8 X
begin9 Y+ {1 o5 ~# T' Z- D$ B% C5 [
intTemp:=intTemp+fNoVehicles;1 Z0 \ _+ M; e3 q
if Cities[C1].id= fOldCityCount + intTemp then
3 L( ?& m/ o* X2 obegin. b4 j& U6 x: n' @0 L8 s+ Y u" Y
intTemp2:=0;
4 F* t# y4 y1 Q* Qfor j:=0 to fDepotCount-1 do
2 a( W- N P. `1 j7 i# N' Ubegin# |- F7 q0 M& F% \4 n; ^
intTemp2:=intTemp2+fNoVehicles[j];
# ?1 R- Q1 o) m+ E% V) Dif Cities[C2].id=fOldCityCount + intTemp2 +1 then
0 D) {& f/ J* d& D5 k& fif abs(Cities[C2].id-Cities[C1].id) <> fNoVehicles-1 then& u/ J) o4 I+ R$ _, T5 s. |4 S
temp:=0;
6 ]" [- Z7 A$ P, ~end; //}</P>
% U9 D6 c) M8 e# b2 B! x9 J<P>end;5 }: P" \& p6 b3 d) g
end;
}5 n# M C7 ^intTemp:=0;7 `6 E' m7 R! h) {0 R* r
result:=temp;
/ S \. v2 T3 I- [ V2 t% aend;</P>4 A/ M) ?- U" d2 [9 y8 d
<P>function TTSPController.CostBetween(C1, C2: Integer): TFloat; //matrix cij
3 Z5 O* d+ u9 n- L0 C- {8 i: vvar6 Y3 t& t6 Z f( J5 F- b
distance:TFloat;
' T1 D$ L( L8 Y' Z1 ]begin4 d$ I( q9 t, Y# A/ P1 C
distance := Sqrt(sqr(Cities[C1].X - Cities[C2].X)+ sqr(Cities[C1].Y - Cities[C2].Y));& g& {* p' r, a. u j( c
//result:=distance+TimeCostBetween(C1,C2);
! s* t# H1 Z; T. s$ K4 Q( E( Sresult:=distance;" q7 g6 t9 s9 ]( ^* h# `9 g) e3 g
end;</P>
( S( b: F: v' C' ~; ^<P>function TTSPController.TimeCostBetween(C1, C2: Integer): TFloat;9 z% y. W1 t0 @) d
var
) V6 r8 \8 s& d, l, J+ `/ Jcost:TFloat;
9 O2 z N$ X/ {, q- di,j,penaltyW,penaltyD:TFloat;. h2 H; t7 F- B g6 C% U# x- }
startTime:TDateTime; Z5 i+ p' e p0 ~* m0 ^( n8 j
begin, O6 D# ]8 \) j- u1 C! ~- f
startTime:=strToDateTime(FormGa.EditStartTime.Text);9 _/ g& B0 p' K: y; m7 z
penaltyW:=FormGaPara.EditWaitConstrain.Value;
: \! V. y7 S( J" J( s$ ZpenaltyD:=FormGaPara.EditDelayConstrain.Value;( q, }9 ~$ t# m' ]
if Cities[C2].id>fOldCityCount then
6 Y1 U1 f1 c2 TfCities[C2].totalTime:=05 j( o1 B5 o2 e3 Y" ]4 D4 c% w& D
else
* n: E- U7 u0 I k3 WfCities[C2].totalTime:=Cities[C1].totalTime+Cities[C1].serviceTime+timeArray[C1,C2];</P>0 Y# u8 b7 E$ _* `
<P>fCities[C2].waitTime:= max(0,DateSpanToMin(startTime,Cities[C2].early)-Cities[C2].totalTime);
1 D! D( a! ?& u, GfCities[C2].delayTime:=max(0,Cities[C2].totalTime-DateSpanToMin(startTime,Cities[C2].late));</P># w& ^" c/ |5 j! I4 ]
<P>if Cities[C2].late<>0 then //consider time or not
9 p7 J; h e$ }% P# dbegin* r! H# S, X2 ^, S' `, g
if Cities[C2].early<>0 then //window or deadline0 u0 @$ C, @, M1 Q7 O1 I
cost:=penaltyW*fCities[C2].waitTime +penaltyD*fCities[C2].delayTime
5 a% j* _" n( g2 i0 K# ielse" N7 ]0 A; T$ ^
cost:=penaltyD*fCities[C2].delayTime;
! |2 z# A% O, j) qend) F3 X/ r+ Y% }% x
else
9 r0 ^" E g2 l5 V1 gcost:=0;8 l! v- n2 \5 Z
result:=cost;
% s$ }; I7 J0 E/ nend;</P>2 Y2 c1 q9 R6 j$ }& D
<P>function TTSPController.DateSpanToMin(d1,d2:TDateTime):integer;* J' B! }% S: K& e1 c ~
var
4 D8 J' w& [$ }span:TDateTime;
* o8 w( [. ]) g& r6 AYear, Month, Day, Hour, Min, Sec, MSec: Word;
, U. W4 b! ?6 U3 Hbegin
V! h2 x1 G5 d8 | L, sspan:=abs(d2-d1);
7 N2 F6 W! q z- F& nDecodeDate(span, Year, Month, Day);3 K5 O9 f/ l$ O/ j; f0 j' @$ m
DecodeTime(span, Hour, Min, Sec, MSec);% i& ^9 N0 M( h4 U! n1 P
result:=Min;: H9 X7 E# y0 R4 W# z: K. p
end;</P>
3 ?# i2 K8 h. _7 u<P>//return the position in the vehicles array
9 d' C7 _$ F# g$ rfunction TTSPController.GetVehicleInfo( routeInt:Tint):integer;
$ }" S0 b7 d4 M; abegin* o' s. h0 U- f& t9 t) ^
result:=routeInt-fOldCityCount-1;
$ k# a1 U% W. p# X4 G F* uend;</P>% _4 a# S6 W+ H& q! o0 O. w! G
<P>function TTSPController.GetWeightConstraint( Individual: IIndividual): TInt;5 a- M: E% k; X2 u
var9 \) o2 a5 Y, O! {
Indi: ITSPIndividual;7 o s6 F4 V- V5 r; ?
totalCapacity,maxCapacity: TFloat;
6 ~; b t O: B r2 ]i,j:TInt;) Q1 d6 i! D+ {8 \* B
tempArray:array of TInt;
& D7 Z7 x6 h) Q G h- ]: [tempResult:TInt;
( E3 d" }8 A# @) `: S3 l% tbegin2 Y7 d" i3 { s$ d, g% ~
Indi := Individual as ITSPIndividual;! {# P8 e! F, \$ U* i. h
SetLength(tempArray, fCityCount+1);
, Y, i2 v0 }* H' ztempResult:=0;
' W9 g+ c$ z" Z& T; A: u5 S/////////////////////////////////////////////////////////9 b; p% y% ]3 G, c. t$ f% b% x
for i:=0 to fCityCount-1 do
0 n& R' E w# c0 Q: l" b( y# ^begin5 L8 J2 F- }' Z& ?- ^: d% X$ V
if Indi.RouteArray=fOldCityCount+1 then% G: x& U* {2 {" s# P
break;: s+ ^5 b! G: x5 h& A1 V& }
end;
9 g7 U2 t( k3 g- j5 dfor j:=0 to fCityCount-i-1 do
& o, ?; c8 y2 p |' u1 \3 R3 V% Jbegin
) Q# [0 q& {2 m' x( LtempArray[j]:= Indi.RouteArray[i+j];
& P9 h. h! ?( W; Cend;
3 r% Y, t* o7 wfor j:=fCityCount-i to fCityCount-1 do4 K K7 K6 n& I! h8 j, Q) l5 a G
begin- J# y5 T l$ x& y
tempArray[j]:= Indi.RouteArray[j-fCityCount+i];
7 C3 y+ t/ P: b9 pend; Y4 g$ p8 K7 C2 v
tempArray[fCityCount]:= tempArray[0];2 T) k1 E0 k. k, z3 E7 d
//////////////////////////////////////////////////////////
, }: N8 e+ o. P6 R' f6 c//totalCapacity:=fCities[tempArray[0]].supply; //supply
+ [( W- O! Q& kmaxCapacity:=fVehicles[GetVehicleInfo(tempArray[0])].volume;2 ?3 n. E( }% l5 F6 Z+ n
totalCapacity:=maxCapacity;) G3 R, M+ ]: C
for i:=0 to fCityCount do2 f6 p' E' Y6 i I7 L
begin
# |% S/ E R( R4 b' \if (FCities[tempArray].id<=fOldCityCount)and(FCities[tempArray].id>0) then
, |' J1 q! q/ y% O1 v+ Rbegin# K0 r/ U& ]0 M4 p& F
totalCapacity:=totalCapacity+FCities[tempArray].supply-FCities[tempArray].demand;3 m2 {) Z0 u7 _ ~
if (totalCapacity>maxCapacity)or(totalCapacity<0) then- s9 }! g p$ U2 C6 }) d
begin
1 X p% C E P4 \, N1 `3 stempResult:=tempResult+1;
* `: z' @( W! j9 V' N//break;
; d. ?! V3 |0 a3 d1 m) Hend;! v- B* j3 n l: r+ a3 V8 x: l$ \
end;
, v- H6 u0 V. |7 @ N3 ?/ Hif FCities[tempArray].id>fOldCityCount then
; k$ P2 e% [" _3 P) _begin
4 v: V% U5 T; Q: n- Q: ]4 {" l: H; ^//totalCapacity:=fCities[tempArray].supply; //supply7 o% W4 s5 R2 E1 C& Q
maxCapacity:=fVehicles[GetVehicleInfo(tempArray)].volume;
0 w2 N$ A% E4 r' ]2 G$ etotalCapacity:=maxCapacity;
$ _3 R: m$ D7 d0 i% h0 F* Q. m* rend;2 F. |5 w6 O- k
end;/ z( n! h% `3 M: z; P
SetLength(tempArray,0);3 Y7 N! n# a9 Q- Z9 [
result:=tempResult;
- Q8 |4 q0 g, [, t2 a0 C/ p) Yend;</P>" f& v' H' ~6 M
<P>function TTSPController.GetBackConstraint( Individual: IIndividual): TInt;
+ f2 j, h( ?( E$ G c4 ?8 Xvar: ?) F7 a8 Z9 G# K
Indi: ITSPIndividual;6 b0 m4 O$ W* n( a- m, d
i,j:TInt;+ q/ G( Z( g& T& a" G
tempArray:array of TInt;4 ?# v' l$ E& y' m$ j" {; P
tempResult:TInt;
$ L! `4 w; E( _$ ~" [" |begin! Z; T6 k$ L, J7 J1 S2 s2 E
Indi := Individual as ITSPIndividual;
+ u$ ]! u' o! p5 N, t) kSetLength(tempArray, fCityCount+1);
7 z( F( M) Z* M- [% a" etempResult:=0;
2 f7 v* ^& s/ k: J; }9 zfor i:=0 to fCityCount-1 do( s3 H; s6 @' h
begin; A2 Z0 f' Y! X& u
if Indi.RouteArray=fOldCityCount+1 then* g) v1 ]( y) B5 e
break;5 e; x3 ~3 [' {( i9 C
end;$ }4 A* x! |8 ^" y! f+ c
for j:=0 to fCityCount-i-1 do
4 ~3 {. H2 Z2 ~0 j! c3 }' M9 Sbegin
. N: Y. P) G/ `5 Z+ Q' j* ]+ rtempArray[j]:= Indi.RouteArray[i+j];
& z# ?$ g4 I4 O. p A7 y3 L aend;
3 z0 p6 I0 v# P1 k* Y9 @for j:=fCityCount-i to fCityCount-1 do
% W: ~: |' k9 m) c# [begin) w& F2 b7 M9 ] @& v) H$ z- l7 H
tempArray[j]:= Indi.RouteArray[j-fCityCount+i];1 M! S, m9 t# z7 r5 Q1 _) @
end;
+ p( `) @- I; z" {tempArray[fCityCount]:=tempArray[0];
: T. M- `. V6 n{tempArray[0]:=11;tempArray[1]:=5;tempArray[2]:=8;tempArray[3]:=7;& ?8 d1 u" c7 h% V6 X5 H/ E# [" j
tempArray[4]:=9;tempArray[5]:=6;tempArray[6]:=12;tempArray[7]:=10;
( G; z9 ?: W( L: EtempArray[8]:=2;tempArray[9]:=4;tempArray[10]:=3;tempArray[11]:=1;
- G0 B, `& B( |4 a8 J7 x- o' ?tempArray[12]:=0;tempArray[13]:=11;tempArray[14]:=3;tempArray[15]:=1;
0 i% j" b% O( T$ [$ H" B& PtempArray[16]:=4;tempArray[17]:=11;//10,2,2}8 }- K. _ E7 [" h: }9 W/ I% _
for i:=0 to fCityCount-1 do
, `! Y* a k9 W8 R& d+ `begin0 k, \- n& f) X' n
if (Cities[tempArray[i+1]].id<=fOldCityCount) then
- h* i9 E8 P. A+ |- k' Ybegin
2 J/ l1 J' P( a2 t. w3 ^2 _fCities[tempArray[i+1]].serviceDepot:= fCities[tempArray].serviceDepot;
6 B6 r* Y- D n+ q9 k" S; L4 aend;- y* N ]3 t0 @
if (Cities[tempArray].id<=fOldCityCount)and(Cities[tempArray].id>=1)and(Cities[tempArray[i+1]].id > fOldCityCount) then5 Y6 {2 g" \2 a2 l v+ S. @+ v
begin
1 O) m, x; ?9 F" u" F# lif Cities[tempArray].serviceDepot<>Cities[tempArray[i+1]].serviceDepot then //back to the start point
6 m- t) ]4 [0 c& ~# `5 \6 Vbegin
+ t3 A4 C9 i' u. w& otempResult:=tempResult+1;8 ]$ u" M' q8 @% M1 R C
// break;( D" H2 V: t, C4 I# k1 e# C' E
end;
8 E Z' W+ u1 x! ?) Z6 {end;
0 ?- o6 [+ `1 O" p' M8 l; B, t8 ~( F) tend;
2 Y- Z6 x7 P' K P7 rSetLength(tempArray,0);
- ~; s1 F. X9 [4 g$ s9 \result:=tempResult;
+ T5 F N, b. t& }end; </P>
/ f3 o/ N4 v% _<P>function TTSPController.GetTimeConstraint( Individual: IIndividual): TInt;7 l, b( V( D1 Z- b5 D
var
" {. T' r& V4 p# Z, oIndi: ITSPIndividual;" u: w; x7 y* {% L6 [
i,j:TInt;6 m& }& L3 Z* }3 u, \ S
totalTimeCost:TFloat;
( r9 ^' H0 p' F# D% X- UtempArray:array of TInt;. f. z2 h5 }1 o4 g" U
tempResult:TInt;4 H: C2 Z/ ~8 r+ m
begin
2 }; V) g" W( CIndi := Individual as ITSPIndividual;+ K8 N2 J& Y1 T& [6 H5 l
SetLength(tempArray, fCityCount+1);! d8 v! ?1 W" C) m
tempResult:=0;
2 r2 [& Y$ D7 I( _for i:=0 to fCityCount-1 do7 L* x0 f1 P/ R! _5 m) d
begin
5 C' Y/ t7 n4 E0 [) O' bif Indi.RouteArray=fOldCityCount+1 then
; w* g2 e3 p2 A mbreak;* D& D: W; x; V8 n6 c6 t
end;
5 u0 `* J" W/ a1 C* Z4 }. efor j:=0 to fCityCount-i-1 do5 |1 n* i3 d7 L W! a
begin
* q8 k8 T8 M; r) R4 DtempArray[j]:= Indi.RouteArray[i+j];
' k& ~, F! P( r8 [9 C% A: Nend;; O8 n7 ^+ t1 R( s- g8 t) |
for j:=fCityCount-i to fCityCount-1 do
) J0 t1 C/ m1 Y+ E) h! R# F- Zbegin) k {9 Y# p9 D
tempArray[j]:= Indi.RouteArray[j-fCityCount+i];
K9 t, x- X8 O3 R* ^ L4 k; eend;
/ E k' A- p6 f6 StempArray[fCityCount]:=tempArray[0];</P>- P. K5 t9 h' Y' V& M. E% m
<P>totalTimeCost:=0;
* Z* W( X) M/ cfor i:=0 to fCityCount-1 do4 D" U( M) c/ H3 Y, Q, A/ F L9 V
begin
9 @ V( U- i- W- }3 n5 O& ?. ototalTimeCost:=totalTimeCost+timeCostBetween(tempArray,tempArray[i+1]);- n( |# q/ H9 A D' w& Q3 t0 U
end;- ^# x5 s! E2 R ]+ m
if totalTimeCost<>0 then tempResult:=1;: l6 j7 V; o$ H, I* R6 y
SetLength(tempArray,0);& p4 r4 J l4 `, t4 W: e
end;</P>
4 Z8 C. X1 O! _; {/ I<P>function TTSPController.GetCity(I: Integer): TPoint2D;* \6 }$ s$ a) n8 n
begin
+ e% ?4 w6 q. h4 p4 v/ s2 cresult := fCities[I];
! G Q1 Q4 Y3 E8 k+ h2 ^end;</P>
+ }* i" F6 J( d a) @3 ~! m+ Y3 S<P>function TTSPController.GetNoVehicle(I: Integer): TInt;2 Y' o5 n& I; @3 u
begin3 i# Z/ _# v7 a' t
result := fNoVehicles[I];% h3 c2 t, p# ]0 ~, j8 { Z
end;</P>
: l5 K, u+ ~* o7 x& ~6 r<P>function TTSPController.GetCityCount: Integer;! H+ r' r3 I) ^ p
begin( X* S: t7 _) y% Q1 q- F
result := fCityCount;# g9 {& b. T) X+ J* J( i6 N( l: M
end;</P>6 U0 ]. H7 E5 C; m& t. h
<P>function TTSPController.GetOldCityCount: Integer;
: r; @) b. S4 K7 r4 F+ r: Kbegin
* G9 K" u2 n" l/ D$ h3 x7 @result := fOldCityCount;
+ A g# q9 a$ f& |end;</P>& d+ ?# x# S$ n
<P>function TTSPController.GetTravelCount: Integer;- A W/ A# ?% r3 d/ Y" b0 A
begin t' C" Q; s2 z; p- u( F
result := fTravelCount;% ]6 n$ O. o# k# i }' z) Q4 ^8 e0 y
end;</P>( _; \( I" q V, y# G2 E8 }
<P>function TTSPController.GetDepotCount: Integer;- A' B) j: d! v$ \' W
begin
1 }/ V0 n: P! U& {" {' T$ n# @result := fDepotCount; D( C9 N% r/ m3 z e
end;</P>2 X' D0 x! Y' [$ D: i/ M
<P>function TTSPController.GetXmax: TFloat;9 |- c6 a$ x, t6 ?& \% K2 N
begin& ^9 Q; H1 E. S' r9 ^
result := fXmax;3 g! F$ b Y k: K1 Q. {$ ~
end;</P>
+ M8 U$ A+ u- e<P>function TTSPController.GetXmin: TFloat;) R: |) p# T% s
begin+ U4 Y! r- B+ s; _( m
result := fXmin;
+ l" x( W+ W9 g2 Wend;</P>+ v4 p# q0 G' s4 h1 E5 i1 `5 P: y# ]
<P>function TTSPController.GetYmax: TFloat;3 @7 J- s' H2 A! ?
begin/ ]3 W- I# z' |4 ?3 L% q( a* p
result := fYmax;
! R. `% D" r- t9 C8 Tend;</P>2 f% s! n! b! S
<P>function TTSPController.GetYmin: TFloat;' y: A: I2 Z J% C8 T8 |5 U
begin
. n7 ^3 M0 c3 J" P" w* vresult := fYmin;! d# Q( b2 ^+ _# q) C/ n1 v& K
end;</P>5 i% E1 h: F* X9 `' p( M S' V
<P>procedure TTSPController.RandomCities; //from database) \# C5 l- D4 c) l- W7 g) O* N# `
var3 ]' \8 p4 D( @) ]
i,j,k,m,intTemp,totalVehicleCount: Integer;6 h$ L7 g8 Q6 [+ ^- m+ s+ y3 F
tempVehicle:TVehicle;0 @- F( ^1 Z3 K0 ] X" N
begin
" ^( o& v {, O: F g//////////////////////////////////////////////////////////8 |1 {0 F2 G r& }& c
fNoVehicles[0]:=0; 7 R; m, h; x+ I/ \% W) Q0 j' ?1 `
totalVehicleCount:=0;8 @( h6 }7 f1 V, W
for i:=1 to fDepotCount do //from depots database
/ N! A- W# M" i; a+ N6 z( H% Qbegin( @; b% l0 z& M" f8 H8 e' G
fNoVehicles:=fTravelCount +1;
* ~7 P# o" d) a( E* ftotalVehicleCount:=totalVehicleCount+ fNoVehicles; //real and virtual vehicles5 J z: Y& l6 g; d5 m% r( i
end;; `5 C/ k) H' S8 Z2 r0 t# f$ @: b
SetLength(fVehicles,totalVehicleCount);
) e) t( R$ y C; |6 NintTemp:=0;. y" M/ {2 } a
for i:=1 to fDepotCount do2 d, N- c$ a# U* ]6 ], r
begin2 X8 S; C) w" C) C' Z( u' j
for j:=intTemp to intTemp+fNoVehicles-2 do3 F% T' z0 Y. z& e& o& d
begin
6 ]# D" e# y pfVehicles[j].index:=j+1;% V1 x9 V' A; |3 D+ Z% e( L
fVehicles[j].id:='real vehicle';0 N; ]% E7 w2 N# X8 w. b
fVehicles[j].volume:=50;
, G; \) u; M: q& j" xend;
2 x% T# R! K; ^ X6 swith fVehicles[intTemp+fNoVehicles-1] do0 t7 z( C. M' l8 M2 R- [
begin$ @& g9 Y& _$ I" y0 A9 o0 k
index:=intTemp+fNoVehicles;
$ g: p" |% M" ^8 |: b' oid:='virtual vehicle';
5 h' h( y$ `+ [. z Avolume:=0;
1 i5 S2 W, i& Q1 f6 V- ]0 ]% ] \: yend;
4 |5 S- x% O ]6 ~# y" I( DintTemp:=intTemp+ fNoVehicles;4 D, d9 ~* u9 o( n% x
end;</P> y% B+ l) E% B7 |. p" i3 p
<P>///////////////////////////////////////////////////////////
* J4 }! Z1 M5 a; nintTemp:=0;5 Z! J* J7 Y$ ^; D: r# U8 \! \
for i:=1 to fDepotCount do //depot 1--value
) j* f- k) i- [* ]# F/ [' sbegin! X3 }; a3 U& A- \4 W5 c! a" v- |9 h
intTemp:=intTemp + fNoVehicles;
, m$ V- R) L( ~( g- [2 T1 p, Oend;</P>
6 u. ^+ `" t$ O! X<P>for i := 0 to FOldCityCount do //from database
2 h4 n8 Z' H, w7 z9 d1 k# D# Vbegin
% {( ^9 a" Y' K' XFCities.id:= i;! g# h; g U& H/ @4 S |! a' @! t
FCities.X := Xmin+0.5+(Xmax-Xmin-1.0)*Random;+ ^) w2 q0 t5 J9 v5 g
FCities.Y := Ymin+0.5+(Ymax-Ymin-1.0)*Random;( F7 R# ~) C _) H
FCities.early:=0;
' ~, B, ^" z0 K6 i1 I G; OFCities.late:=0; //TDateTime
; c3 ?! {* ~0 a" kFCities.serviceTime:=0;
* U+ c9 L l( N. ]/ s$ N1 ]FCities.totalTime:=0;) d9 i, p1 }0 \! U7 h& W
FCities.waitTime:=0;2 S0 c& M7 w/ w$ b, H& m
FCities.delayTime:=0;. d) I5 P# S: w! U- a
end;$ ]% {$ N2 M; q! z
for i:=FOldCityCount+1 to FCityCount-1 do8 j6 a# k9 z m) V" Q/ q$ X1 j
begin
) |( W K' Q, C; O; Y: nFCities.id:= i;
3 d+ ^$ l0 `. W# q! _if fDepotCount=1 then
% l( n3 b- J7 n3 F+ H+ Kbegin. p" X r9 @: \( I% P) h5 V( E
FCities.X := Xmin+0.5+(Xmax-Xmin-1.0)*RandomRange(2,4)/5;3 c1 m3 C9 _; u i
FCities.Y := Ymin+0.5+(Ymax-Ymin-1.0)*RandomRange(2,4)/5; z- g8 } H2 \0 k; {
end
1 Z7 \3 ^5 j9 u' w+ I }else
0 M [3 F: ^6 F6 Mbegin
+ Y+ r) \9 i5 m" M) b+ b( E% U3 C4 qFCities.X := Xmin+0.5+(Xmax-Xmin-1.0)*Random;
" C) |. _7 i4 cFCities.Y := Ymin+0.5+(Ymax-Ymin-1.0)*Random;& l& W2 o, O+ Q1 X: y1 e
end;
, }6 H; k: t4 E+ R! DFCities.early:=0;+ R7 b8 k1 U3 r% ~0 E7 s- C7 h+ U& o
FCities.late:=0; //TDateTime
& f3 y5 ]2 C' Z& c: g9 `" AFCities.serviceTime:=0;
7 N9 Z4 t/ ?$ Y3 kFCities.totalTime:=0;
' Q( J7 c7 o& y5 [$ zFCities.waitTime:=0;7 I4 N% g$ e$ G. m: k! {
FCities.delayTime:=0;0 a7 u! X! U$ |$ k' g
end;</P>
' j: v7 k" d/ T4 @ M) ~- r<P>for i := 0 to FOldCityCount do
7 v6 M. G% ]. _! y: G8 {begin
9 `9 f( d) B$ z1 _5 \FCities.serviceDepot:=i;
2 s: W; J- Y- j2 _6 _2 R$ nend;</P>
. J+ t! `! Q" w/ }6 j# t<P>m:=FOldCityCount+1;: v$ o% y6 _. I7 P
for k:=1 to fDepotCount do- Z% t0 M" V. K6 j' E8 j( B
begin
% c/ O( T, t, p! wfor j:=0 to fNoVehicles[k]-1 do
- D5 G8 t' }' |! fbegin
4 n! t3 f y/ e8 N- n9 fFCities[m].serviceDepot:= fOldCityCount+k;9 V* a+ ]. z& `# H( m
m:=m+1;
% `& N( n) f# C, m) f8 }end;5 V4 G7 f r% O8 D
end;</P>
- j; E" a/ v! W<P>//supply and demand //////////////////////////from database
+ T! |; |0 U- ^7 V9 tFCities[0].demand:=0;8 K, \2 G2 C, d' T2 o* e) \7 [) `* _
FCities[0].supply:=0;
6 I6 o0 l) A, n: Zfor i:=1 to FOldCityCount do
, J. d) q5 t* e1 l! Ibegin
3 @3 T" z) v. NFCities.demand:=10;$ E: w; e6 R. t5 R7 x9 l8 {3 Z
FCities.supply:=0;( J& w6 V" }6 F* N
end;* I H6 {* X9 j: p4 i+ D
for i:=FOldCityCount+1 to FCityCount-1 do9 F9 C6 I, R& ^- C; f/ @% `0 D6 V
begin( G, M1 Y- e$ i" T
FCities.demand:=0;
2 [3 I& S- ?0 CFCities.supply:=50;1 R- L, `. c u8 [- u" D
end;! }5 x, @8 z k5 q! ^% p+ W7 U8 |
////////////////////////////////////////////////////////////</P>$ \7 J7 E$ x* x- }+ b2 C+ P* k, L: S
<P>intTemp:=0;- g# a7 M, M. B3 z0 R
for i:=0 to fDepotCount-1 do
" l: }. @' x/ W/ p8 ?begin; F9 K4 Y0 W- C' V& M N c
intTemp:=intTemp+fNoVehicles;
0 j( d' S7 ^4 t0 ]1 F7 M* Y6 Qfor j:=2 to fNoVehicles[i+1] do
5 l; k3 X: @* B8 c) ?begin* f& n/ w' P+ |6 I! z: a% M M
FCities[fOldCityCount + intTemp +j].X :=FCities[fOldCityCount + intTemp +1].X;* D8 J8 V. v0 V4 l
FCities[fOldCityCount + intTemp +j].Y :=FCities[fOldCityCount + intTemp +1].Y;$ X1 b, f0 b, A
end;' b' p7 [. a& x! T- R
end;# T) t$ Z" B+ _- [1 _
writeTimeArray;
0 k1 D" X) z, g" }writeCostArray; 9 H) v+ J2 J6 }8 a2 H3 `
end;</P>, x o+ f0 w0 F' l ~" u( X; |% P
<P>procedure TTSPController.writeTimeArray; //database2 n2 O* b( J; ?) k
var% {" K5 m$ [5 X! l" S' L
i,j:integer;
" x/ L% b: Z9 Z! K& u0 S, ?' X. h, sbegin
7 k' g9 ?; @# H4 R! g- {SetLength(timeArray,fCityCount,fCityCount);, H E2 Z5 @- v6 V* l) t* S
for i:=0 to fCityCount-1 do
( c8 I9 A' b7 o& d% W# Y8 I( Kbegin) _. v a f/ u+ c( m" U
for j:=0 to fCityCount-1 do
! T4 {7 i( _% h! F: k/ Sbegin& B3 X/ u, w3 c9 H! i2 l5 V
if i=j then timeArray[i,j]:=0
' E1 [* A& U. p! f U$ celse timeArray[i,j]:=10;
' @: W& o! ]3 j# }4 Xend;
( z3 o$ b2 s# r7 |3 Iend;( R1 P4 q3 w& Z' H( k u3 y& ?
end;</P>
- k- }8 N" b! i" a7 m9 `<P>procedure TTSPController.writeCostArray; //database" L# ~( W7 Y6 W t
var. W0 W* K6 z0 w6 e+ G
i,j:integer;
" g5 }, X! V' U9 zbegin8 \0 T+ e7 E$ S9 @, ]/ F0 R: i
SetLength(costArray,fCityCount,fCityCount);" A$ M, b# ^% B0 p9 w0 O
for i:=0 to fCityCount-1 do
0 ~9 b0 A: D5 G8 o D3 R- }begin
6 Z7 f+ k# L/ Dfor j:=0 to fCityCount-1 do4 ?8 @2 E; V% w6 `1 I
begin+ F& M5 `; M2 C. z1 b! k
if i=j then costArray[i,j]:=09 ~; h0 Q. j$ p$ m) l2 d
else costArray[i,j]:=costBetween(i,j);
6 n% j1 [& @- Bend;
. i+ j8 c' m. i' g7 b; [end;6 i/ X" y' J e. r
end;</P>
; U0 s/ k$ v9 x3 W* y& A<P>procedure TTSPController.SetCityCount(const Value: Integer);
" J4 ~% a# w: A1 D8 n4 M4 kbegin
9 i$ h" R3 y: y7 W3 H+ R6 YSetLength(fCities, Value);8 F8 i8 N% v: z; E4 s+ E9 p
fCityCount := Value;</P># H- C' L8 B/ ~8 Q) l$ c
<P>RandomCities;
6 z. L% C+ p2 @0 P, Wend;</P>/ W" x; V9 u2 Z% T+ q* i# s
<P>procedure TTSPController.SetOldCityCount(const Value: Integer);
$ @* A0 j- F1 }+ vbegin- {( ^" L; o4 _) v( `! e1 I2 u
fOldCityCount := Value;5 X1 q- m4 k1 |# M- m7 C+ R
end;</P>! a; x: J1 w% l3 [2 |! x& o3 P
<P>procedure TTSPController.SetTravelCount(const Value: Integer); ///////////
z. C9 b' A9 |1 Pbegin
6 k2 M! j# {7 J% B+ P5 ` RfTravelCount := Value;
/ {. R6 D1 S' L( }. u) ]) kend;</P>
! F/ F. }% y8 V% f) Y<P>procedure TTSPController.SetDepotCount(const Value: Integer); ///////////0 C. S; f8 S8 ~0 p# R& f1 X
begin; ? f" ^7 r. X. K# U# D
SetLength(fNoVehicles, Value+1); ///////////////( e" ~2 { b. \5 N
fDepotCount := Value;6 U; z9 @* V+ g! v6 h! U' ?1 W
end;</P>
" }& ~ F4 f) T6 ?<P>procedure TTSPController.SetXmax(const Value: TFloat);7 {2 t3 m# ^" E; |+ J7 w$ s
begin2 Q# A# x3 L$ }8 o- b
fXmax := Value;
) [, r0 v- H) iend;</P>; Y) s% r+ h! ]2 {2 C% e" B
<P>procedure TTSPController.SetXmin(const Value: TFloat);
8 Z) o) a4 G$ v2 Z: H0 o" y) e* [. s* R4 \begin
1 l# p8 N& ~) M5 [5 L' ifXmin := Value;
- V( `3 R0 t* o- N! J/ L# o" aend;</P>
$ I* s5 }1 m0 X! z<P>procedure TTSPController.SetYmax(const Value: TFloat);; X/ H% }, L* N4 Y Z+ F$ @
begin( c( W8 e) ^( n) d
fYmax := Value;
% z0 t3 y: c9 Q1 ^# U/ L' wend;</P>
# Q. L/ b0 n0 `! I% i$ \) c) L<P>procedure TTSPController.SetYmin(const Value: TFloat);
. ?7 c) Y6 S$ j7 v5 x6 J0 P8 tbegin
! V9 Q! Z `* z j, F: p9 U5 ffYmin := Value;
; H4 M3 t1 ?6 {! t1 Pend;</P>
* e5 K3 f: A5 J/ C& M: _1 Z" l<P>end. 7 n4 B" E+ U0 N
</P></DIV>
& N$ t/ r* N _7 C% g[此贴子已经被作者于2005-4-27 15:51:02编辑过] |
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