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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>9 H$ W/ a7 \, Q5 y* x$ C7 J
< >旅行商问题(traveling saleman problem,简称tsp):
4 D; D9 {3 G4 ]) \; z( F) y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?9 d3 z8 B; b, y& c
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。
! U ?' ?& \7 P5 s L/ w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)。
6 T$ ]! l6 G8 T& m2 ^ ?, }6 K0 k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:
4 X; Q9 T' w$ I' o; D+ n8 g0 n' @min l=σd(t(i),t(i+1)) (i=1,…,n)
% e8 O. ~2 `& J1 T: I( ^ J T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。. _9 l3 e- P+ j
遗传算法:
9 f1 ]- W& H- V4 Z6 p d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。
& @3 E3 q3 p, {4 l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)).$ x& G* j7 ]3 N, E" A: @$ v' w
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]
; v* N' L+ I! {4 G0 k/ w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。6 G$ g. g% m" L" ~
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.- h9 B1 s$ B8 F! r* I2 E1 c
step2、从区间(0,pop-size)中产生一个随机数r;8 e" l- K* M9 A/ H! `+ f- B# r
step3、若qi-1<r<qi,则选择第i个染色体 ;
, g( y! l; u- s4 n) Jstep4、重复step2和step3共pop-size次,这样可以得到pop-size个复制的染色体。
2 w0 l7 w( |( H! F; U* s/ V2 Wgrefenstette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:
# { x/ U* I9 R1 c8 15 2 16 10 7 4 3 11 14 6 12 9 5 18 13 17 1
2 ~3 R1 H+ J/ e: ^$ W: S对应:1 Y6 } {% Y5 |
8 14 2 13 8 6 3 2 5 7 3 4 3 2 4 2 2 1。& |' {: k- ?* ]7 P5 I/ t$ Y9 D
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。
+ M" ?3 ?/ Q5 a- U# z0 E/ Z将所选的父代两两组队,随机产生一个位置进行交叉,如:! h% O* m- j4 ^
8 14 2 13 8 6 3 2 5 7 3 4 3 2 4 2 2 1
4 f! N, a, W7 n7 a$ O3 t6 12 3 5 6 8 5 6 3 1 8 5 6 3 3 2 1 1
( ], @7 a/ Q( Q: R交叉后为:
6 Y# }, t. c' }" y5 R8 14 2 13 8 6 3 2 5 1 8 5 6 3 3 2 1 1
! W* j4 y+ Z3 Q0 ?6 12 3 5 6 8 5 6 3 7 3 4 3 2 4 2 2 11 h5 v* N6 P# j+ j6 P1 Q8 I
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:& F2 a- o& f& y7 G0 y
8 14 2 13 8 6 3 2 5 7 3 4 3 2 4 2 2 1
1 u& e) O/ n% z6 ]变异后:) Q, N' F3 \) i7 p* X
8 14 2 13 10 6 3 2 2 7 3 4 5 2 4 1 2 1
& k8 e; ` X; f" `* E1 X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。
0 h8 c0 w7 Z1 r: P" @6 _+ l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>
! _# W3 }$ z3 `7 D/ b; a9 Q9 f! l< >Matlab程序:</P>6 K% H5 c( F! J& K5 l
<DIV class=HtmlCode>) R$ K- g/ K: z1 w9 G: P) }, z
< >function [bestpop,trace]=ga(d,termops,num,pc,cxops,pm,alpha)3 m: b" {. l* }$ V/ Z1 a
%0 ?) E0 l* Z( r, f. B5 K& w
%————————————————————————
$ ^& D* w8 [2 @) H" I V7 a%[bestpop,trace]=ga(d,termops,num,pc,cxops,pm,alpha)" j: E' n2 ^$ A7 W7 z
%d:距离矩阵, O" W. y! ~5 O+ w- R c- R, J
%termops:种群代数
& k0 \! r! @" ^, g2 D%num:每代染色体的个数2 ]) E% R Q1 C3 D- |. o
%pc:交叉概率& L: m+ I% P4 V# n# }) P% {; b! C
%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。
$ l# f+ v' z! o, a6 j1 @+ \%pm:变异概率
1 A& U" w. T: m: h%alpha:评价函数eval(vi)=alpha*(1-alpha).^(i-1).
- \9 H: d" W+ v6 n3 k5 U* e" p, z%bestpop:返回的最优种群
4 E3 P4 |7 {( ?4 W% _1 W%trace:进化轨迹
; f5 R+ r" M2 l$ t( i6 y* h3 a) G7 U& _%------------------------------------------------
, H; K3 j( r$ Z%####@@@##版权所有!欢迎广大网友改正,改进!##@@@####
8 f& A8 h7 M' f- O%e-mail:tobysidney33@sohu.com
% s0 ^- v2 E/ Q; ~%####################################################
! { b0 `$ O: ~! O' H. P2 } o# v%
1 {: T5 \$ c \ W, B' ccitynum=size(d,2);# j0 ^! [, ~2 V! l, f& C, B3 f
n=nargin;
+ g4 b; q; O8 jif n<28 K) s' N* d2 |3 @$ |* L
disp('缺少变量!!')0 i6 O" {/ G& o8 I. a& [
disp('^_^开个玩笑^_^')
4 Q- x5 s2 k5 W4 K2 z" }end
# U& j# b( i" e' ^, U+ H4 mif n<2
2 j+ e3 c8 Y, xtermops=500;$ c9 Y' ~$ k' T- e
num=50;
: R2 R0 C. A- Cpc=0.25;
# }" J! H! N3 z& b5 ]# P$ zcxops=3;
: O$ B a; P# [; {. C( Ppm=0.30;
# e5 G; I5 `# malpha=0.10;
$ Z& d) Y) }( u7 T& z4 Xend2 t' f* t* ~7 }) A8 U' c
if n<3, [/ a! B; C* P% s7 H' I: p
num=50;
6 D: R2 c$ H1 t) Y( q. R) \7 H% Upc=0.25;7 {2 [. M0 L3 l1 l9 g- @
cxops=3;
4 D/ A; o& v+ A' r% Apm=0.30;5 L+ f6 y, k" d, @# d- Q2 J
alpha=0.10;2 O$ i p- O8 H9 n* C5 n( r" F( d
end
1 Z' g* f. e3 D* x z& D9 Kif n<4- i) l& Z- \4 T6 V( U; l
pc=0.25;
, T. o1 }; _4 ]. e1 |8 P' x2 Scxops=3;
1 b1 c$ g5 v; n/ _( s7 _pm=0.30;1 c% q* j# S0 J3 t5 O1 T
alpha=0.10;/ c7 e* i4 o5 x2 G0 Z; Y. a( c
end; {6 u; R3 O# I% l3 r% E/ q
if n<5
3 \4 f7 I8 u4 F! f/ j6 Wcxops=3;
$ ~+ D# o) T' x# {( a$ Opm=0.30;
) b- }* m5 r% y/ Z3 B, u# Xalpha=0.10;+ B& _$ i9 r5 }" D, V1 ~4 W
end
& @+ \, N* F- Y1 w) P- f4 Tif n<6
& x* v: d' v. Q# F! opm=0.30;1 t+ t0 _4 Q8 G/ g
alpha=0.10;/ r1 e z4 @) j/ K' Z4 f
end
3 A# B# S4 V) i" o. Kif n<7 B# i8 K M5 W5 n5 c. M
alpha=0.10;
( c8 M, x9 q( R1 J/ J1 p' hend/ {1 S7 P& Z3 A! r ]+ n
if isempty(cxops)
4 S! l/ d- b% r3 |% Q7 F6 tcxops=3;0 ^% z2 {1 u [& G* w
end</P> Z( n8 R( h5 p; w1 {3 U
< >[t]=initializega(num,citynum);
7 ~. X' ?- x3 F+ ffor i=1:termops, Z- ?% ^# X) a' e1 X, s
[l]=f(d,t);4 d. C) ?( t/ m9 R' t3 |+ [3 w6 S
[x,y]=find(l==max(l));# X. \4 }. e; N5 R; h* W
trace(i)=-l(y(1));+ Q& |0 L& i' p
bestpop=t(y(1), ;
; Q6 H: Z" f \7 W/ s6 z[t]=select(t,l,alpha);
" e F0 H4 J6 p) f2 ^6 @8 v[g]=grefenstette(t);
/ M. |' t( L% U2 T. s# ]0 W[g1]=crossover(g,pc,cxops);8 S; F! L/ ?; R
[g]=mutation(g1,pm); %均匀变异3 |0 \* D; ^3 v) `/ b/ d- q
[t]=congrefenstette(g);' E8 J4 @+ Y0 t" E
end</P>
- d4 O4 {5 M7 B: o( l% @< >---------------------------------------------------------6 u0 ~$ C; p0 B) |( E9 W% U1 S
function [t]=initializega(num,citynum)( N7 f3 ^- n, q
for i=1:num
: A, G& `' J2 c4 I; kt(i, =randperm(citynum);
/ K7 Q, c1 h3 W6 \end
; i& E4 b! F' C$ R9 F-----------------------------------------------------------4 ^: w6 G8 H# o: D2 b1 g& J
function [l]=f(d,t)
4 H, K+ u& G* c. e ]* J8 V. y4 y[m,n]=size(t);
7 n+ @6 w6 n& V: J0 b, Z# F _for k=1:m. c9 p$ g" u# m H& y- e0 q" u
for i=1:n-1
1 K! x9 F! X% I: R( ]" Bl(k,i)=d(t(k,i),t(k,i+1));
+ q# r, G0 J/ c* x' D' \end1 |5 R# r/ ?1 e$ N4 k3 `) f+ l/ ~; c
l(k,n)=d(t(k,n),t(k,1));
7 ~' @9 b7 V+ r2 n/ kl(k)=-sum(l(k, );9 @& v0 I P- S5 ?% b8 |
end* j! F: j/ d2 F9 U X( A
-----------------------------------------------------------
/ d7 ~( h, n ~; t1 l& ?5 Z' dfunction [t]=select(t,l,alpha)
6 q" g A& f, t# V& N+ L; @[m,n]=size(l);4 F: N8 D- G# u+ T: h1 b" @
t1=t;3 O' m8 y( E3 z/ w: }% @! J6 {
[beforesort,aftersort1]=sort(l,2);%fsort from l to u
0 `5 T$ I0 N, Y4 vfor i=1:n ^7 ^0 j! l9 X% T$ u
aftersort(i)=aftersort1(n+1-i); %change
0 `8 ?/ j7 x$ gend7 I/ `' j. ]5 X3 J, _9 H. b
for k=1:n;
, y2 {* _8 u Y& D6 h5 k' wt(k, =t1(aftersort(k), ;8 i/ t6 k& R' d2 Q0 ^) S1 d
l1(k)=l(aftersort(k));) N4 g. g; u8 T a* d) d/ Z% c
end
) o6 V( k7 M/ wt1=t;' [3 ^3 E" B2 y8 E" }( g
l=l1;$ G4 R7 i* A0 S' H
for i=1:size(aftersort,2)4 `* O: f ]- \$ k- E/ Q( x _
evalv(i)=alpha*(1-alpha).^(i-1);
2 ]- H9 {. f" j7 D% U9 bend
, j4 O% Y: D- u# N0 U7 k. J' H' l) Em=size(t,1);
& I: X" K$ K' q/ E. |! g/ Pq=cumsum(evalv);
/ f5 P9 K+ U' l& H7 `) K s1 c9 eqmax=max(q);
, t2 K, C, U) X4 }4 Afor k=1:m" N: p( ?/ i' [ c
r=qmax*rand(1);: S, K- ?1 c# [
for j=1:m- z1 N* f, a: c. m
if j==1&r<=q(1)/ P' Z7 N. i' z* y( c7 _
t(k, =t1(1, ;
3 }) l3 h/ I# t9 X' \/ A" melseif j~=1&r>q(j-1)&r<=q(j)" C! U) H4 O* s% D, H2 r
t(k, =t1(j, ;( M0 J! J4 `- A- N3 H" R9 |
end
7 |+ I% R; F( e' E3 y1 v' X9 send2 b& D, H4 {$ D5 R$ K
end4 \" T: Z! D/ t$ ?/ A! Q+ N
--------------------------------------------------
5 [6 B5 y+ k4 F0 X3 D$ ^/ Xfunction [g]=grefenstette(t)7 N4 q* M- Y+ r) E
[m,n]=size(t);* A! P6 F1 ?$ g A5 v. P% V; K
for k=1:m) Z+ h- P6 P& y5 [/ @8 C$ D
t0=1:n;
U2 k9 `! J+ G0 N* g# s) W& Z+ Dfor i=1:n* B& x( |2 e! R+ `4 B/ I
for j=1:length(t0)" C3 X8 L" t7 s- ~% R4 a/ i
if t(k,i)==t0(j)
0 ^# i* G: I/ fg(k,i)=j;
5 T! {, J* C+ Nt0(j)=[];* Y' Y3 O% z, v% G+ n
break
; Q5 w! l5 I4 U6 C2 g N* Lend: u) L# [& O0 L6 H' M
end1 B! b$ B/ y, I% }3 c' U
end4 }% Z& f3 F% g) l' U& M6 _2 G
end
4 V$ M; a; T, v! _. n2 x' k% Z-------------------------------------------
+ `7 A3 u3 U: r- W7 i" D+ Ifunction [g]=crossover(g,pc,cxops)
" ^0 D& c1 C: e$ e1 o[m,n]=size(g);2 }% N: x$ r3 {, E+ v
ran=rand(1,m);/ I2 M `: ?4 }% @) I. F0 T% R
r=cxops;- F3 ~1 `) }+ u/ x7 ?
[x,ru]=find(ran<pc);
6 e* Y" L- n9 f2 S# `/ R+ G8 @if ru>=2- e, |9 i+ W$ h' {4 {- w
for k=1:2:length(ru)-18 u$ C7 {0 F) Y1 F* D9 z
g1(ru(k), =[g(ru(k),[1:r]),g(ru(k+1),[(r+1):n])];1 i; {- N7 e3 b5 e
g(ru(k+1), =[g(ru(k+1),[1:r]),g(ru(k),[(r+1):n])];: B7 Y. {) h5 R# I
g(ru(k), =g1(ru(k), ; t( L1 w1 \& S9 d# }
end
m8 K; Q5 ^5 a0 Yend
8 s: X0 A7 M& m6 t--------------------------------------------+ a8 V- s4 X; V- j2 M
function [g]=mutation(g,pm) %均匀变异9 x7 S6 i8 t ?. L) M! E
[m,n]=size(g);
- Q3 C& Y+ {+ I# o) T. i, g3 {ran=rand(1,m);
! a- Y/ E2 f+ f+ g& X/ }r=rand(1,3); %dai gai jin8 u0 D0 f* y( i* v
rr=floor(n*rand(1,3)+1);
, t! j% r, s% H3 L$ f* m4 u[x,mu]=find(ran<pm);
v! y$ U1 D7 P; H. V8 e3 X( ufor k=1:length(mu)
! `) w$ S" K) m9 lfor i=1:length(r)2 w/ W+ _- v" K5 L6 ^8 _+ q
umax(i)=n+1-rr(i);
( \/ b1 _1 H- N: W* w) dumin(i)=1;
# u c$ U6 p% Y& z- Ig(mu(k),rr(i))=umin(i)+floor((umax(i)-umin(i))*r(i));
( t) f/ R# |2 l1 Q$ f! \end
- C! b% [7 \% {( K3 O) G6 v: Vend
% [' B# Y% G4 r! B---------------------------------------------------
5 K. G. t, g# I7 n2 i$ q I4 nfunction [t]=congrefenstette(g). \- D; e$ M2 D3 }
[m,n]=size(g);, x: t, O# z+ v& c9 X! e6 S& S
for k=1:m
+ |5 s3 T" n0 I$ [* at0=1:n;% P; ~) z2 z+ o- D' A8 q
for i=1:n
/ p1 P! Q2 D: |5 Rt(k,i)=t0(g(k,i));
+ N m3 C+ k- g, z3 Dt0(g(k,i))=[];
% y0 d8 H. \6 q" X0 iend2 p' E( [# e( W9 P3 Q
end
$ |8 S% |+ c6 T5 s$ X; A------------------------------------------------- </P></DIV>
3 G& Q0 Z, {! Y< >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>: e- R8 ?' b, {4 Q2 b
<DIV class=HtmlCode>& U% ]$ z6 N( M: B! V7 V
< >%TSP问题(又名:旅行商问题,货郎担问题)遗传算法通用matlab程序/ c& h# ~4 T& Y6 U5 C& G
%D是距离矩阵,n为种群个数,建议取为城市个数的1~2倍,3 ?/ ^" t6 y5 Y/ A9 ] e$ \: T
%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
# P: D! A1 d" \+ b%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6 V5 q- W& r0 u+ |2 C& B# {
%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
) i8 s% k8 A: z6 X) K" m%R为最短路径,Rlength为路径长度/ o [+ X" G' m3 Q( F
function [R,Rlength]=geneticTSP(D,n,C,m,alpha)</P>
0 n4 ?! B! c6 F/ H0 L, t< >[N,NN]=size(D);# x' M+ {# c% h* J/ f
farm=zeros(n,N);%用于存储种群
, @$ L% ]0 q, o, gfor i=1:n1 D. v% f7 V& Q1 e j
farm(i, =randperm(N);%随机生成初始种群
* U4 @2 I7 F* n) P# Y4 wend
7 r6 Y8 M0 {# A4 ]1 k; P7 ]R=farm(1, ;%存储最优种群* k2 h! b2 x' V, H: S$ H
len=zeros(n,1);%存储路径长度
5 z: q8 L' Y0 x. Z" r+ p, bfitness=zeros(n,1);%存储归一化适应值
7 C) @' c' @* Vcounter=0;</P>6 @: r- Q% z( t/ O
< >while counter<C</P>9 b7 J3 J1 K3 _( }
< >for i=1:n
5 W/ j3 i; j8 {) P2 T8 ]6 u: Glen(i,1)=myLength(D,farm(i, );%计算路径长度2 c3 i K& S& N4 c, x
end
: q: ]6 N" k, g9 ?3 p8 o6 X) |" emaxlen=max(len);1 ~# _5 n; c- m4 ]1 M
minlen=min(len);! r3 [1 w- D' u" i
fitness=fit(len,m,maxlen,minlen);%计算归一化适应值
3 ^' d3 ~/ q8 `# O" H' Nrr=find(len==minlen);
9 D, y2 n/ _; v4 @0 d3 T# w* ]5 sR=farm(rr(1,1), ;%更新最短路径</P>
5 G" ?/ |- p8 e* V2 o8 C- m< >FARM=farm;%优胜劣汰,nn记录了复制的个数" U4 R( O1 M+ X+ F) ~
nn=0;
& w% f$ ?2 D) y, [for i=1:n# X2 V" P" U1 A7 [8 P+ _) e g
if fitness(i,1)>=alpha*rand) D# W. s( b! j. r
nn=nn+1;
' j' P. U$ Y& [3 \/ {9 \5 BFARM(nn, =farm(i, ;( X3 ^6 n5 t, q
end
1 h8 _3 F8 q- v0 r2 }0 d% @/ Qend* x+ K5 E" F1 v) ~0 U- X4 n- t4 ]
FARM=FARM(1:nn, ;</P>$ k; o7 ^6 f+ Q* s7 W( O* u
< >[aa,bb]=size(FARM);%交叉和变异, U" d8 A$ B4 Z ]$ G. r
while aa<n
: T2 c7 I! S4 e" m; gif nn<=2. \, H4 w3 r1 ~( \3 P
nnper=randperm(2);
3 a1 O: } d+ b* z* ?( M: Q6 \0 }else
4 F2 s) {0 w, Bnnper=randperm(nn);4 o! b: a3 p) H2 `- e8 o
end
1 K3 _( E9 }* rA=FARM(nnper(1), ;2 M9 A8 l- f6 w& y X' e% n6 V
B=FARM(nnper(2), ;0 Y q% w4 S, I/ q3 f! ^
[A,B]=intercross(A,B);
2 f( x' v: e" B9 y8 b" S# ]FARM=[FARM;A;B];; t& L; c# Z: d- D; b) b1 c- M
[aa,bb]=size(FARM);8 F: f5 C3 Q* k+ b3 B- z+ y
end
* F- O% j1 S- ]3 C; Oif aa>n: J8 j0 A4 Z* a1 U/ b
FARM=FARM(1:n, ;%保持种群规模为n0 t, M1 |9 |! R" g
end</P>2 Q6 V$ O! \. m
< >farm=FARM;
- T5 g! r" V, A& s. Fclear FARM/ k6 r0 M, a! n$ R
counter=counter+1</P>
) k b! C; o1 ^! O" g< >end</P> j/ m8 @8 m) X# I7 f6 m7 {0 ?
< >Rlength=myLength(D,R);</P>
$ d T! O& [- I. L< >function [a,b]=intercross(a,b)
' F# V% W$ U( o2 dL=length(a);7 _. `) ]; u- D, b/ y. S
if L<=10%确定交叉宽度6 i6 `* i# Q7 Y
W=1;
& U. A$ l. `* o2 @elseif ((L/10)-floor(L/10))>=rand&&L>10+ R) {" |/ U9 q( }$ M# D
W=ceil(L/10);
# p. t6 J. f P S3 g, f6 T& oelse
4 s! s" |. A' M3 s" ^( cW=floor(L/10);
, N- g( ]$ N" P3 y1 zend# {, ^$ ?1 ]7 H2 F, y+ Z8 J
p=unidrnd(L-W+1);%随机选择交叉范围,从p到p+W
/ \3 E, J* {/ yfor i=1:W%交叉
0 C/ Q* f5 x( R2 C" a" K8 B: o& M; \x=find(a==b(1,p+i-1));' m6 L" ~7 Q8 \8 A; x8 }- I5 s+ C0 n
y=find(b==a(1,p+i-1));( c0 l* b( Z, S: }5 M
[a(1,p+i-1),b(1,p+i-1)]=exchange(a(1,p+i-1),b(1,p+i-1));
4 W. }5 w1 i5 ~# q. x[a(1,x),b(1,y)]=exchange(a(1,x),b(1,y));
$ _. z$ }# P) S% O+ k, Yend4 V& I9 n. A+ j! b' N4 }! E/ D) h
function [x,y]=exchange(x,y)
v4 o4 t. C @; E- stemp=x;1 I$ F3 E+ R1 ~( b8 Y) A0 \
x=y;) r" p4 p8 v a* a0 _
y=temp;</P>
7 `7 R2 K8 b8 K: b1 x< >% 计算路径的子程序6 X( T4 p* R* s$ E6 o
function len=myLength(D,p)( e0 Q* i) G- O* u3 q6 F
[N,NN]=size(D);
7 g! U2 [1 R) F. h; X( y( Jlen=D(p(1,N),p(1,1));. h$ q+ o w4 X0 B
for i=1 N-1)3 I9 K3 G. c; N+ |8 k
len=len+D(p(1,i),p(1,i+1));
+ |- G! G/ @& P4 Tend</P>
8 N. ^3 J0 k& p2 d< >%计算归一化适应值子程序; [ L4 l* t: k' T: D; ?" r' r
function fitness=fit(len,m,maxlen,minlen)# U n- h7 J; T' l" Z- I" z3 I4 U
fitness=len;, k) d+ z5 u5 x* p# c% G# {, k
for i=1:length(len)
$ w r* M& m& M# S" x! u* Zfitness(i,1)=(1-((len(i,1)-minlen)/(maxlen-minlen+0.000001))).^m;2 r/ \, O5 O6 B, Y
end </P></DIV>; B) S Z9 {; R7 _8 M( p8 M' d
< >一个C++的程序:</P>8 ~# D* }! K3 b1 y) n) F
<DIV class=HtmlCode>
3 F3 Y# a. O! D) }: [, }+ j6 U< >//c++的程序
5 H1 j7 G3 _2 i( v5 d: b5 ?#include<iostream.h>& D @$ `/ H9 c. m& l
#include<stdlib.h>
. ]$ {. Z: s- P, x% N! u1 @0 ~template<class T>
2 I/ {0 O' v0 Eclass Graph
( x& W) t" x, M) B. R{7 F" U K) g4 ~% W! P) w4 C. s
public:9 M- Y# W7 l) d( ^" a* ~" E
Graph(int vertices=10); Q7 B, a* R D4 _' }
{8 b/ Y. |+ F# y( }$ X
n=vertices;
1 p3 ]- f) i' G2 B) k; @ e=0;! g8 {9 q* z8 o. E
}
) ~* y- g/ G h# \- ` ~Graph(){}1 p6 ~' K- ~+ z0 a3 x- `9 ~+ X
virtual bool Add(int u,int v,const T& w)=0;
1 h0 Q1 g" w G8 d' T virtual bool Delete(int u,int v)=0;4 w: H, h/ Y& g1 d
virtual bool Exist(int u,int v)const=0;- B H( F, b7 V) P6 p3 X+ \! A
int Vertices()const{return n;}
% _: ?6 K( S. r) @ int Edges()const{return e;}
( b7 x9 J% ]- t$ m protected:& E4 ^ N s+ a# q, ~% }
int n;
' l, }9 R) H* W$ p1 I/ u. G int e;
. z9 ?9 W/ H7 Z};
9 B1 a3 L# S- Y6 c7 Ctemplate<class T>
3 N8 @( E, R# N/ \class MGraph:public Graph<T> k# F V. z/ G3 |( E* @! a
{" Q6 G! e5 o6 L4 w/ {9 v6 S" L: c# h
public:1 B" t. p0 L6 A+ Y& t+ o+ T
MGraph(int Vertices=10,T noEdge=0);# l7 ^! Q, a" o* e* L
~MGraph();
: @. w3 D$ Y; \; q, D% Q! d2 k6 f bool Add(int u,int v,const T& w);! `6 A5 C# C- O" y' c- [4 |" u
bool Delete(int u,int v);
" L, Z$ n) E& |5 w9 F bool Exist(int u,int v)const;
$ \7 K( n2 L1 c; X1 d void Floyd(T**& d,int**& path);% C" y! e [) u* }4 ?! z
void print(int Vertices);
* H7 n7 K3 L8 S private:7 e" o( Z; }$ d# U
T NoEdge;3 c1 Q6 E. L0 ^5 f
T** a;( Y& c0 f. B5 J( A+ g9 l2 B# Z
};
# b8 c! e! l {template<class T>
3 F2 k- |# ~3 R! W+ \) z; XMGraph<T>::MGraph(int Vertices,T noEdge)
" _& g' c+ C1 _{
! l' D4 v/ H9 l0 _) h& z5 ] n=Vertices;
( M; H7 w9 y7 g# [! O% N NoEdge=noEdge;! p5 w9 e& z0 k5 [) |: D
a=new T* [n];
9 D) ]% D. ?8 b# ]3 d$ b for(int i=0;i<n;i++){7 {$ _& X/ ?# T9 i5 X; F R7 {
a=new T[n];
8 L: f3 g. j- m/ E' l0 B H+ S a=0;4 `, B7 z; g8 a: r# m# i. S
for(int j=0;j<n;j++)if(i!=j)a[j]=NoEdge;
' \. T+ D1 c8 A* Q }. I& ^% H1 U0 Q* F+ y6 n$ ? L
}
% ~0 d( i1 f$ y6 q% q. R7 P9 \" Mtemplate<class T>
6 @+ g# q& M' H- ~MGraph<T>::~MGraph()/ ~: |; }" d, z- w, Z8 q6 j/ m& Q) {
{$ m' F5 r# |( U+ J, p* U
for(int i=0;i<n;i++)delete[]a;
$ |) e' S) k/ h, } _ delete[]a;5 k# O% a6 e& Q& v
}
1 v% Q+ m! O3 _+ ptemplate<class T>0 q4 M$ C0 g3 u; ?+ i$ Y. o1 m3 D
bool MGraph<T>::Exist(int u,int v)const4 U3 g& ~. _6 E. s. \
{
s# l' C* q+ b$ Y1 E, w if(u<0||v<0||u>n-1||v>n-1||u==v||a[v]==NoEdge)return false;
' d5 F" @$ [1 j return true;
# N7 l' g2 e/ S" Q3 T( `& Q}
, {* }7 e+ k7 U# Q" H, D7 Ktemplate<class T>* H2 f3 r, n- c/ S) l* }- q0 X
bool MGraph<T>::Add(int u,int v,const T& w)
4 c- h$ g( R6 a2 W4 @* L{
) [& G3 x0 ~: X" q, _; l if(u<0||v<0||u>n-1||v>n-1||u==v||a[v]!=NoEdge){
9 j) n3 h8 \6 R8 O cerr<<"BadInput!"<<endl;
# U# `; v m3 E7 ]0 ?" ? return false;
6 C! s1 |+ Q z- J9 ^9 [8 B- H+ M }' `# D" ~# J$ ?5 |8 k
a[v]=w;
S! J2 e. i% l+ k( H# `2 I5 Z# e e++;# C) x2 l1 b4 \
return true;
1 m1 `' h5 z4 W) z}& r$ p+ q1 i8 _2 X
template<class T>
! a' _2 F% V; i; `' cbool MGraph<T>:delete(int u,int v)
0 Q1 m; |0 G; L. D4 Q0 `4 F. F{0 w, g' v- A+ p6 F3 [4 S7 X
if(u<0||v<0||u>n-1||v>n-1||u==v||a[v]==NoEdge){* } O. A$ h9 P1 L- E, F
cerr<<"BadInput!"<<endl;
7 O& U9 A" `' N" r2 V0 e8 k+ g* ` return false;- \8 {* D5 N7 }$ |2 {
}
% X* Z6 m3 O, w- ?; k( J a[v]=NoEdge;7 g+ T5 V, k& t6 a7 \/ n1 c, R( J
e--;
# L5 E. L- j o) t% K! r0 Z, j return true;
* g* L4 E! h3 a c}+ b J5 \/ D2 n6 ]! r; d$ V9 N6 s
template<class T>0 G& |8 J) d( m+ ], `
void MGraph<T>::Floyd(T**& d,int**& path)
8 `+ i! o0 k& p* D; ^{
, z7 M* f% M6 `8 ?7 e }9 e d=new T* [n];
* q7 }2 m5 @# v" u path=new int* [n];
' I; q% X, _# f8 O: ~$ L* C& p for(int i=0;i<n;i++){
0 G9 D+ ]( b7 L d=new T[n]; u+ I4 B* V6 }$ z1 Y- C
path=new int[n];7 z, q1 ?) [) F2 H2 v: R
for(int j=0;j<n;j++){
( Q& H, l9 x) Z* G* c d[j]=a[j];$ D0 B: q) T" x
if(i!=j&&a[j]<NoEdge)path[j]=i;
: o2 f$ K' G# I else path[j]=-1;+ \( I& m8 B7 w' z
}. t* {. \ ^0 g) v( W }
} Q0 ~% }3 K3 W# O L$ o2 R1 h2 ~
for(int k=0;k<n;k++){- Z1 g$ l9 T2 N% P
for(i=0;i<n;i++); L: |* l( v: h9 _5 D6 d O
for(int j=0;j<n;j++)
3 `5 m5 M5 k: w* ]) P if(d[k]+d[k][j]<d[j]){
( Z; A$ {) v) C( [- E d[j]=d[k]+d[k][j];: r6 p% w. ` }2 Y0 w
path[j]=path[k][j];# n* ]. `& @$ j1 b
}
/ y5 G* F, Q2 ^. b8 n }" t& F1 P2 F; v
}
+ |" U& W8 p1 `" k7 E4 ktemplate<class T>
$ R! k6 v. j0 j# q. D* ^void MGraph<T>::print(int Vertices); Z& f" Q2 t5 r& ]- V1 m8 L
{
H) r8 x4 `* } p+ H0 e4 ` for(int i=0;i<Vertices;i++)2 E/ H2 q" @2 g4 r
for(int j=0;j<Vertices;j++)3 p/ Y4 K: B, h3 d# Q
{
5 j0 P0 D% o5 y" d z M# |8 r7 u
5 h2 B6 T& S$ O+ N" Z: |& Q0 N4 _ cout<<a[j]<<' ';if(j==Vertices-1)cout<<endl;# X4 o" p! B' \6 D/ S
}) D- S @( J; g& h$ Y2 w% p- _* ?
}. G( _/ a+ p; g
#define noEdge 10000
5 v+ M0 L- W. S% w; A1 D#include<iostream.h>
9 a" Q& O. \ t7 P- ` yvoid main()' }3 [8 \* P5 A& ^# Y X# C
{. ?$ {* I* x$ Q
cout<<"请输入该图的节点数:"<<endl;
$ U4 T0 o! n5 V# q5 P int vertices;
6 ~+ d: Q; h# B' u2 s cin>>vertices;* W- P; i7 W) {9 L3 H
MGraph<float> b(vertices,noEdge);' O# B* }* G1 Y [
cout<<"请输入u,v,w:"<<endl;2 h! u& ~! e, r
int u,v;
1 M$ K" l& a+ Y; P s float w;- y) K. R* O; p7 s/ a1 ]
cin>>u>>v>>w;5 U* e- u z; ?: \7 Z9 h
while(w!=noEdge){
8 G& H4 ]& o; r0 e; K% H //u=u-1;9 Y! Z& {) `" L: b1 q/ Q5 s+ f1 [* d
b.Add(u-1,v-1,w);
7 R. l' m! I$ A8 o- I( R" H b.Add(v-1,u-1,w);1 e, S- L6 {3 H# \3 @7 x( d6 Y" M7 {
cout<<"请输入u,v,w:"<<endl;
4 i5 |/ Y) w M& g: f+ F' h8 K cin>>u>>v>>w;
, ?7 \+ \0 t% N& @- r" q! g+ J }( N- I* ^. r6 U6 F N2 ]
b.print(vertices);# i# @: Q3 H. a1 a( F% n7 Q
int** Path;& Y% X; U# a6 G7 s1 M% ]. y& o3 q
int**& path=Path;3 w) U0 ]( ^" G$ D+ E
float** D;( }* A, Z# Y/ X2 g
float**& d=D;
% {5 i! D; p. R c" [9 [8 L g6 F b.Floyd(d,path);
0 I6 S6 E5 _$ u! P for(int i=0;i<vertices;i++){5 V- _+ ~' w0 N- ^- Q
for(int j=0;j<vertices;j++){7 S7 H: A. U+ f( |& @2 Z9 E$ I
cout<< ath[j]<<' ';
8 J# d0 C" m5 K9 a# } if(j==vertices-1)cout<<endl;
7 k7 q6 v6 B1 Z3 e }
8 y+ p! M* R$ g( H }
+ ~# f8 l' |- |* l: ~9 r# U int *V;& t7 F- w7 U1 ~7 v) |
V=new int[vertices+1];
! f( @; o* S0 ?3 x$ n) b3 v cout<<"请输入任意一个初始H-圈:"<<endl;4 E# P5 R0 K+ ?. v$ q% V
for(int n=0;n<=vertices;n++){2 P2 F Y! |& ?9 z3 d" b2 h N; i
8 _- c( ^% S+ B$ r" [" a6 L cin>>V[n];9 [0 p o9 m' b. ?; l4 X" C7 a& q/ m
}
# s4 Z) k2 ~/ ?" \1 Q/ V1 ~0 r for(n=0;n<55;n++){ Y. @; j6 L* `. J( F# ] C' ?
for(i=0;i<n-1;i++){- I0 a+ V }9 Y' s! \# R+ m
for(int j=0;j<n-1;j++) d e) E! g8 z+ g# J* U, }
{
3 i) \4 g$ f" c, O$ J* l( J if(i+1>0&&j>i+1&&j<n-1){
4 v" L% V: u8 y6 a' P" @ if(D[V][V[j]]+D[V[i+1]][V[j+1]]<D[V][V[i+1]]+D[V[j]][V[j+1]]){! p# ?( v' |6 s* W# h
int l;. k. t4 c% s" n5 p/ }
l=V[i+1];V[i+1]=V[j];V[j]=l;5 f0 U2 v- ?* D$ S
}& C! k6 X5 B; k z! t. |
}
7 g7 R* V5 Y( |8 ?2 F5 f( P, s/ h8 ^ }
! \& I2 p$ _, C, R* j }
) I4 _9 B0 ?+ {' [ }
* G9 i) g, S/ c$ h9 a float total=0;- ^) v2 f8 v) T" V( n
cout<<"最小回路:"<<endl;! M/ d! h6 k4 K4 O% {
for(i=0;i<=vertices;i++){
2 a3 n& a; [5 W5 r2 ^. i- c ; {+ @3 u3 J1 S; U
cout<<V+1<<' ';* i. U. N) i; i6 t
}5 [" a" ]0 F0 b9 Q% R8 x
cout<<endl;# H+ g9 s6 ?3 [, q& k
for(i=0;i<vertices;i++)
& X3 B. H' `1 y# s& B total+=D[V][V[i+1]];2 l0 w9 O+ f. t) `5 S# k' B
cout<<"最短路径长度:"<<endl;1 ^2 s* n# W. Z( K, v
cout<<total;$ O% S4 w( F7 k) P0 W/ k A& m
} </P></DIV>
- A" M0 j& N& a! h. R. ~) r1 u< >C语言程序:</P>
j+ R( x4 F2 e2 s: q<DIV class=HtmlCode>+ |3 E# f n8 J# f8 [6 X# T
< >#include<stdio.h>
2 N, w3 r, e' o/ {6 l+ i#include<stdlib.h>
# p! k/ X$ h0 p#include<math.h>
r- r6 e; O$ u& F) d3 _6 C% P#include<alloc.h>! V/ u( ]6 Q! }2 L! A2 T
#include<conio.h>0 B+ b4 E( t' X9 W
#include<float.h>( U6 V O% ?" }! e
#include<time.h>
& K9 W, S% z3 c( ^2 v" R" q3 Y#include<graphics.h>
' B3 R% T. N) e5 T#include<bios.h></P>& O! K$ a2 f/ ?* ?
< >#define maxpop 100
7 S- P( x5 Z% ]% }#define maxstring 100</P>' A3 K$ h6 d/ M# o6 m B
< >/ S, n& H( O1 i8 H
struct pp{unsigned char chrom[maxstring];2 R+ A" y) U* O7 H# _9 `
float x,fitness;1 K) E! {+ y5 @+ P
unsigned int parent1,parent2,xsite;( }7 `! r. c& S9 M- `) u
};
: N% a9 U0 W- z l8 s6 Kstruct pp *oldpop,*newpop,*p1;
8 j. H3 W: ] C: c# r. }$ @7 |unsigned int popsize,lchrom,gem,maxgen,co_min,jrand;) v2 S$ A* b6 U* `( l6 C
unsigned int nmutation,ncross,jcross,maxpp,minpp,maxxy;
; d) j2 x4 s5 W% D: E$ Wfloat pcross,pmutation,sumfitness,avg,max,min,seed,maxold,oldrand[maxstring];
0 R" M' k( @/ y6 V5 p* X# Cunsigned char x[maxstring],y[maxstring];
) i# k* j; Z, Z- [/ X# P0 Ifloat *dd,ff,maxdd,refpd,fm[201];* U% B9 l% s% _3 p; X4 i
FILE *fp,*fp1;/ t! S( J+ A5 b* F$ Q F& Y
float objfunc(float);
& x9 Q. F5 R; j6 ?void statistics();
( @; H8 h, ^2 z, k3 N. Aint select();- Y" V% z# `9 c+ |/ _' }+ m- e2 E
int flip(float);4 P8 P B* U+ ~) q/ Q
int crossover();
4 w0 a& w2 z$ w P! r' uvoid generation();/ K% r. ?4 \7 C- \
void initialize();
- H/ P3 B* w9 v) Q5 zvoid report();8 @0 P& \" m* ?& p$ H) G
float decode();" T" s) C; P! p* g/ y( Q7 ?
void crtinit();' _' q- i% n; U/ A. h, _7 x) }: z
void inversion();, z1 N1 `& I% Z4 q& u, {
float random1();
% }$ o; Y# V: z) c6 ~- vvoid randomize1();</P>
, h+ g; s# L. l5 f6 D+ R< >main()
% j' P. S1 Z. Q0 E- A{unsigned int gen,k,j,tt;
# a4 l0 u& P# ochar fname[10];* B. W o$ a/ O2 K* z
float ttt;/ g+ n9 m5 U) d m
clrscr();7 @' Z( c0 B" h' L5 M
co_min=0;- r |: H B8 u5 R# t' ], @
if((oldpop=(struct pp *)farmalloc(maxpop*sizeof(struct pp)))==NULL)% K5 C9 ?8 y: ?7 X( y& H* r
{printf("memory requst fail!\n");exit(0);}3 y- ?0 r$ G1 m6 z: W# N, e
if((dd=(float *)farmalloc(maxstring*maxstring*sizeof(float)))==NULL)
7 `4 c6 ^! C, T& ] {printf("memory requst fail!\n");exit(0);}! r5 g0 g; B8 `: K
if((newpop=(struct pp *)farmalloc(maxpop*sizeof(struct pp)))==NULL)" d4 z- _7 ?& n: i) Q
{printf("memory requst fail!\n");exit(0);}/ P+ D8 ?# @& d1 m3 y
if((p1=(struct pp *)farmalloc(sizeof(struct pp)))==NULL)
/ l' z4 t* _% G* m {printf("memory requst fail!\n");exit(0);}: L# }) N" D# r5 B! g
for(k=0;k<maxpop;k++) oldpop[k].chrom[0]='\0';1 `+ p3 I. L2 K; o; X6 s. d
for(k=0;k<maxpop;k++) newpop[k].chrom[0]='\0';
. i* t6 w; P) V2 D/ yprintf("Enter Result Data Filename:");
! W6 p" [( a( ^* M% ?gets(fname);
" u# N4 n7 b* M- d- j1 V% Jif((fp=fopen(fname,"w+"))==NULL). b3 h1 w9 W4 P. w3 [
{printf("cannot open file\n");exit(0);}</P>
% M- w+ {- q }4 P+ s" r< >' [2 B( Y z2 }$ q. p% e
gen=0;
% R6 O; ^7 K5 O' rrandomize();
+ E# c4 R6 G! q6 Q, zinitialize();</P>
8 I1 I0 h8 D+ n/ C! K t( {% G< >fputs("this is result of the TSP problem:",fp);
/ t) d' [5 H" p4 F) Gfprintf(fp,"city: %2d psize: %3d Ref.TSP_path: %f\n",lchrom,popsize,refpd);
: l' @$ l9 r, e7 j3 \; _fprintf(fp," c: %f Pm: %f Seed: %f\n",pcross,pmutation,seed);
* |8 a& k9 `1 cfprintf(fp,"X site:\n");
. D& T5 e( f+ A5 i% Y8 r& Bfor(k=0;k<lchrom;k++)0 e; A$ s x$ x# R* w! p$ n; @
{if((k%16)==0) fprintf(fp,"\n");
& C# `7 Z5 ^! e' Q6 n; b fprintf(fp,"%5d",x[k]);% y% z, M) y. @
}
+ V4 A5 j. Q& Vfprintf(fp,"\n Y site:\n");
$ l0 `4 @& _+ l% T8 k' k( [for(k=0;k<lchrom;k++)! y0 }0 L' T' v9 l0 d. O
{if((k%16)==0) fprintf(fp,"\n");3 r! C! C3 ^( @* g
fprintf(fp,"%5d",y[k]);
+ P8 x; M; W" e }0 _" X2 v3 f1 j, D* R1 m' t
fprintf(fp,"\n");</P>) f! L8 l: U+ G* z5 @
<P>1 l" W8 E, b' l/ i& @# w( o
crtinit();3 Q) w; G7 F. X8 v2 q9 y' B
statistics(oldpop);, X; W. q* J: T
report(gen,oldpop);
n7 ]* P3 q9 @getch();
- s1 B# {+ V. W% f- j: L- ~2 Xmaxold=min;
) D' E6 [" U' i$ s- x b' m' r$ kfm[0]=100.0*oldpop[maxpp].x/ff;
7 s! C3 w& q8 }3 xdo {
?, _. I0 f7 I gen=gen+1;
. l! L/ M2 U" L generation();
( w! W8 I- M ^# y6 k statistics(oldpop);
- X9 ~! f" o8 Q \6 D3 t6 S if(max>maxold); |- ]- ~5 l# g
{maxold=max;" z7 `) Q6 e6 ?% J5 Z. V }8 j
co_min=0;
) Q. E+ w7 E% y# p/ H7 w }; n6 ?/ y$ S8 {0 F. O/ B3 Z
fm[gen%200]=100.0*oldpop[maxpp].x/ff;! T7 ^1 `, V( _1 l# d
report(gen,oldpop);
2 q6 F, ]' {5 Q. z gotoxy(30,25);
& k/ f* h x6 R( Y/ z ttt=clock()/18.2;# ~/ y- J5 i) p) J. p- b
tt=ttt/60;) C, ~) D/ }& F) X6 R7 V+ j
printf("Run Clock: %2d: %2d: %4.2f",tt/60,tt%60,ttt-tt*60.0);& J' ^1 p @4 u. Y$ |0 F
printf("Min=%6.4f Nm:%d\n",min,co_min);6 J9 b, N, y- p+ j& X9 g) N
}while((gen<100)&&!bioskey(1));
/ k! Y7 s0 m4 j9 z* Q0 oprintf("\n gen= %d",gen);: O- D' u/ Z$ c f
do{
& q$ f8 F0 H- A! C# o gen=gen+1;: ~ a# g# b. u; h+ c0 }) |
generation();7 b; i3 O% n" P+ }) q
statistics(oldpop);
5 _% y$ S8 G& s3 _1 n if(max>maxold)" x$ v+ ^4 i( c; ]+ J; W
{maxold=max;3 q4 D" h* M8 a3 ^7 g
co_min=0;
* }' e9 Q2 w& e3 E2 C }/ V) u6 y4 w$ P& @7 o$ U
fm[gen%200]=100.0*oldpop[maxpp].x/ff;
3 Y5 |! u5 t7 t$ J) H& ? Y4 d# A report(gen,oldpop);
. ?/ `" R( k" `: E if((gen%100)==0)report(gen,oldpop);
6 J3 p; B* v! m" U4 H; U gotoxy(30,25);
" u7 H/ R7 H+ q+ t! f$ k) d ttt=clock()/18.2;6 \; W0 F' y4 x* R
tt=ttt/60;
# F: g# ?$ q; p" F printf("Run Clock: %2d: %2d: %4.2f",tt/60,tt%60,ttt-tt*60.0);
$ l. o* z4 G8 r! U printf("Min=%6.4f Nm:%d\n",min,co_min);+ Y3 c7 k7 { k
}while((gen<maxgen)&&!bioskey(1));</P>
# K9 u! `3 P, t% v1 h/ Y7 |$ S. y2 Q<P>getch();
. n+ D" h# L9 W1 o2 [+ G" \for(k=0;k<lchrom;k++)
9 z2 C' ], i J8 A+ O0 p {if((k%16)==0)fprintf(fp,"\n");
" g: L5 r2 k4 r, D- G+ x" H5 X fprintf(fp,"%5d",oldpop[maxpp].chrom[k]);
) t8 Y6 c) z9 g; L& `4 e- [+ g" n }
6 ?( {0 t- h& Q. A$ T( s" zfprintf(fp,"\n");</P>: U |3 B+ S' m8 a
<P>fclose(fp); V m5 {7 T/ b# P
farfree(dd);
+ _& W8 y+ c+ g# v1 G, ~/ n" [$ L! Afarfree(p1);
* W' ]/ w2 _! e' B# Cfarfree(oldpop);
) A/ S% w6 a+ A$ A# ~1 bfarfree(newpop);; O0 ^; J& c" ~& v- d. g
restorecrtmode();
. i: d7 g) n# e4 I4 K, |exit(0);
; {7 T4 K4 n1 g1 @}</P>+ ~3 n1 T4 ]0 G' }% y
<P>/*%%%%%%%%%%%%%%%%*/</P>
$ u$ V' {+ w$ u<P>float objfunc(float x1)" }* t+ k" T3 h
{float y;3 a0 J. n- `+ N& f. J1 d5 i
y=100.0*ff/x1;+ A4 @$ E, J( L5 B1 W' H( U* _
return y;
- }# \, V* N7 j6 F6 A$ d }</P>
: t$ n" Q4 L$ e: i% L<P>/*&&&&&&&&&&&&&&&&&&&*/</P> R5 p$ R7 o( J; b) i8 m
<P>void statistics(pop)
V T0 i& V! e1 a. ?struct pp *pop;' A- A4 {; Q* L$ J- v
{int j;% t6 s& C0 Q f8 [1 @
sumfitness=pop[0].fitness;; Z% ~3 L4 f+ D3 K
min=pop[0].fitness;5 n$ w5 t. b- B5 J4 N2 C! l! F
max=pop[0].fitness;5 w8 \ ?) P$ f' P8 r) G
maxpp=0;
! h) S% W; |' m, Zminpp=0;$ {. ?! X2 G6 M3 Y: E
for(j=1;j<popsize;j++)! \( Q/ W) Q" S0 k6 p* Z* h
{sumfitness=sumfitness+pop[j].fitness;
4 C |, W& g0 X' p, E, I if(pop[j].fitness>max)3 X( g+ H/ N& a- S, B9 Y
{max=pop[j].fitness;3 Q1 |1 @9 W, Q9 n
maxpp=j;" D, N1 Z: E8 w4 S2 z
} a9 R) A2 u2 O" ^5 d
if(pop[j].fitness<min)
; S! ~2 c1 [8 l) z, }4 J{min=pop[j].fitness;/ O" u4 a$ P3 k, v, B1 S
minpp=j;
- l" @! E$ `1 e9 `0 ^% ]3 q' W! Y}
+ Z" Q( S' S9 p3 @3 @ }</P>0 M# K; `7 Y9 ~, E
<P>avg=sumfitness/(float)popsize;
) H, E& l$ b( B- X- F+ S}</P>% H, A r9 R' l# N
<P>/*%%%%%%%%%%%%%%%%%%%%*/</P>
, f3 J& j' R9 F<P>void generation()3 U* ^, e j9 l. G l' } F
{unsigned int k,j,j1,j2,i1,i2,mate1,mate2;' P# m* s8 f) w; o
float f1,f2;
( |: p% j- L7 \- f- o- m# Gj=0;& t+ A& x# Y! ]& ?- q1 _& ^7 c
do{
/ m1 L5 }! U- \ w& h5 m6 K5 M/ R mate1=select();
' e; A( E" N# t pp:mate2=select();6 ^- J2 h- o" D5 V5 W, X! N* [
if(mate1==mate2)goto pp;/ {( a6 |. @. ]! I% v
crossover(oldpop[mate1].chrom,oldpop[mate2].chrom,j);9 o7 \) p/ J$ d$ Q# B
newpop[j].x=(float)decode(newpop[j].chrom);7 N# c" y" l, Z* C; p. W
newpop[j].fitness=objfunc(newpop[j].x);$ X* j7 c. e9 t- U& Y% l0 f; T
newpop[j].parent1=mate1;9 {7 C2 E5 H. e4 i
newpop[j].parent2=mate2;4 P) q, n' Y1 s1 X$ ~7 i
newpop[j].xsite=jcross;
- ^) F- N; w7 _: p newpop[j+1].x=(float)decode(newpop[j+1].chrom);0 @+ `2 A# t/ C0 Q! \& e& D
newpop[j+1].fitness=objfunc(newpop[j+1].x);
4 p& M$ ~) T6 G8 y newpop[j+1].parent1=mate1;
: z- q: m1 b! x5 q newpop[j+1].parent2=mate2;
: k& @! _) f& w) f9 _ newpop[j+1].xsite=jcross;
, \$ Q3 c/ z4 Q, T% I3 q if(newpop[j].fitness>min)4 N9 ~) s* z* W0 T7 |3 o5 D9 }. a
{for(k=0;k<lchrom;k++), T' Y5 n' {) B/ i
oldpop[minpp].chrom[k]=newpop[j].chrom[k];
) \" i$ z' W4 a+ k7 W$ I; M oldpop[minpp].x=newpop[j].x;1 b/ f/ _8 q7 W5 T
oldpop[minpp].fitness=newpop[j].fitness;4 v/ _) V9 }6 B1 B' c8 ]
co_min++;
; n9 |6 F( a& [, u' K5 C0 f' m5 M- F return;
0 l2 |4 B* c! R" g/ `/ D}</P>+ X- r% I/ A- d0 \+ h& |
<P> if(newpop[j+1].fitness>min)
_$ y m% A$ l" G- x0 G& X{for(k=0;k<lchrom;k++)
+ q/ d+ w/ f& [3 Q' d# q oldpop[minpp].chrom[k]=newpop[j+1].chrom[k];' a* P3 W+ ^' m$ U- R6 \4 s
oldpop[minpp].x=newpop[j+1].x;
8 B! }) r8 H3 E/ V# u( K oldpop[minpp].fitness=newpop[j+1].fitness;
7 f3 n9 ?/ s( w* L( V co_min++;
3 c5 E; Q% z" ~5 t# m return;% e) ]% E: p% ~6 }& C, d
}9 C* p& k; p% _5 a: @3 _& ]
j=j+2;
9 e7 [6 u7 q8 u1 Y5 M Z }while(j<popsize);
% u0 K* P4 P: |, Q}</P>1 u9 l. t1 W& j- v
<P>/*%%%%%%%%%%%%%%%%%*/</P>" T6 e% \ B# K; P) t. j
<P>void initdata()
L1 F: F; @/ k, F3 t% _{unsigned int ch,j;; S( {" y) G0 g* s- l& v5 e
clrscr();2 F+ |" @ a0 |5 ?* o6 a& e6 a
printf("-----------------------\n");" `. l8 F( x' o; G
printf("A SGA\n");' y; y/ w- F6 L% l
printf("------------------------\n");, i2 @1 ?) w1 y1 m$ `/ _( a' t
/*pause();*/clrscr();% J. o( C3 |, F6 q3 g# d# D: F. V
printf("*******SGA DATA ENTRY AND INITILIZATION *******\n");
2 S5 r7 t6 B3 M- M4 x' aprintf("\n");+ J; a6 _( m$ z- m" B. B
printf("input pop size");scanf("%d",&popsize);
) i) P" k; O# ^; X" @! x" ^printf("input chrom length");scanf("%d",&lchrom);+ I+ h9 D/ l9 O0 h- m3 O) d
printf("input max generations");scanf("%d",&maxgen);
: F; l! |5 o3 O6 Kprintf("input crossover probability");scanf("%f",&pcross);1 O7 Y# Y/ a" s8 L1 n
printf("input mutation prob");scanf("%f",&pmutation);
6 a2 I8 [/ Q: ?9 |# v% C [randomize1();9 q0 K' {7 M4 Q1 n
clrscr();
% g) ?- [1 @0 ~6 d) G3 {# X- h0 tnmutation=0;8 U- s9 v8 Z& r4 s: _! S, ]8 L5 F
ncross=0;
- X9 T* A, F; r}</P>0 v* e1 C( g* R K
<P>/*%%%%%%%%%%%%%%%%%%%%*/</P>3 T+ J) D' z" C
<P>void initreport()
0 @" T9 ], [: J* u{int j,k;
. e" G O0 p- T* h7 w4 e4 Dprintf("pop size=%d\n",popsize); E" E' u; C8 p3 @0 y. B! A( C
printf("chromosome length=%d\n",lchrom);
- b) v- q$ h# P% H- z+ Aprintf("maxgen=%d\n",maxgen);
; I1 A8 P9 V1 U3 Y. X" F9 b7 lprintf("pmutation=%f\n",pmutation);
* ?: Z: X6 V$ C5 vprintf("pcross=%f\n",pcross);
f+ A' j8 Q/ {% S- ?$ Lprintf("initial generation statistics\n");
) m' }, K( j0 mprintf("ini pop max fitness=%f\n",max);. q4 Z. v! A- f8 H
printf("ini pop avr fitness=%f\n",avg);
! a) X) S0 H& Q- {- vprintf("ini pop min fitness=%f\n",min);
! J" ]( Z8 U6 e% d" ?+ jprintf("ini pop sum fit=%f\n",sumfitness);
' g; n( O! Q2 T4 V) c}</P>0 P. C) r2 [- D! M
<P>) p5 i1 ^, y, X6 \1 F R7 ^! D5 g# `
void initpop()
e) p; n6 R3 S" ?{unsigned char j1;
' w& ~5 h9 q' a# `* Funsigned int k5,i1,i2,j,i,k,j2,j3,j4,p5[maxstring];
. z# ^: D0 f% y9 C$ gfloat f1,f2;% X) X: Z1 |5 {
j=0;
: X" c% U( I6 H, z. P; Dfor(k=0;k<lchrom;k++)2 z: }8 x0 N& g+ K3 U* J
oldpop[j].chrom[k]=k;
3 p4 V7 V- {# ]7 p2 ]* ?# tfor(k=0;k<lchrom;k++)
+ Z: y% L% E0 J: ]$ n% a1 B p5[k]=oldpop[j].chrom[k];
- J) q- W t9 _8 j3 Crandomize();
! `* p9 S# \' a8 Y4 D) D! B: i- cfor(;j<popsize;j++)1 B' c! Z4 x) k& f
{j2=random(lchrom);
7 d. X& R/ q" b! p) \- d7 J for(k=0;k<j2+20;k++)
7 |# r& X% M% u* G {j3=random(lchrom);4 D; y4 z3 f4 P: g" p' g+ e- P9 @
j4=random(lchrom);) v4 C9 q9 K& T
j1=p5[j3];
! ?( ]% _6 ^% E0 E9 L p5[j3]=p5[j4];. l" \# u1 w0 a+ |" B7 H, Z% \
p5[j4]=j1;# _! o; v' N4 n% _( B1 @# G
}
V' Z, b: `& q- ?' j" a% E2 W for(k=0;k<lchrom;k++)1 E0 _, y2 a- Y) j; t" A) i
oldpop[j].chrom[k]=p5[k];
4 R# s0 u4 z' u8 |% T }
, W, v5 p( S* n3 m) T! g) `5 ` for(k=0;k<lchrom;k++)* s: j8 I1 i4 ~* G+ X3 Z6 x# v
for(j=0;j<lchrom;j++)
5 q6 J/ _4 o' |8 M" J& g dd[k*lchrom+j]=hypot(x[k]-x[j],y[k]-y[j]);
: n! H+ G3 e5 n! e2 |; R( F for(j=0;j<popsize;j++) @: y! J3 T( t) Y/ u- R
{oldpop[j].x=(float)decode(oldpop[j].chrom);
; N2 z5 U. u( x# e& ?9 P a oldpop[j].fitness=objfunc(oldpop[j].x);4 O4 D. [: [ g2 ?2 R4 ~3 k/ v
oldpop[j].parent1=0;
: O) b) [1 H8 P, {, G( p o4 d oldpop[j].parent2=0;
4 H. h S5 \% o P2 _+ i9 ] oldpop[j].xsite=0;8 G3 v' _0 K) B- b0 u# @$ a) e
}7 L: x7 b. ?$ i9 f; c
}</P>
% f# o) l( n7 O. J/ {3 S r- z" C% {<P>/*&&&&&&&&&&&&&&&&&*/
: y J' R, T$ d u: {void initialize()
1 d5 `/ t0 P" f* C* l+ y- I8 G) k{int k,j,minx,miny,maxx,maxy;9 ~9 a) w& v0 v, {4 Y" ?( n
initdata();0 ~& V) C% \! T: Y% O {
minx=0;; F! z Z( {1 P" _
miny=0;+ _& M0 g D+ e3 n3 ^8 X
maxx=0;maxy=0;
4 l2 q D6 F: x. cfor(k=0;k<lchrom;k++)
' f0 a% o2 y" i+ V5 |0 B% \9 E {x[k]=rand();
0 q3 r' b p; X/ C1 C if(x[k]>maxx)maxx=x[k];6 [" P3 N' w2 Z
if(x[k]<minx)minx=x[k];
$ y: N7 I8 u2 |7 i8 l y[k]=rand();
% @; t) ~, u5 @ if(y[k]>maxy)maxy=y[k];
m, d3 b6 V5 C/ h; F if(y[k]<miny)miny=y[k];9 X; N- n" q) H3 X
}& ^* @1 \3 I) W3 q: V
if((maxx-minx)>(maxy-miny))1 B* e# t& s2 b* L$ ~
{maxxy=maxx-minx;}7 a* R9 F/ X4 [: _5 P
else {maxxy=maxy-miny;}' C/ k/ {( Y) I( b/ L; `; H
maxdd=0.0;
* r. l2 I, G' cfor(k=0;k<lchrom;k++)" k2 G' j* ^5 N4 V8 Z5 ]1 _
for(j=0;j<lchrom;j++)
% s* S; G: W! a \ l7 P& \9 V {dd[k*lchrom+j]=hypot(x[k]-x[j],y[k]-y[j]);9 b r9 H5 e2 A# u! r" s
if(maxdd<dd[k*lchrom+j])maxdd=dd[k*lchrom+j];8 D7 i6 e* s8 D: N: b0 {
}
& e9 |9 k3 \2 H4 ?, ~. yrefpd=dd[lchrom-1];
8 o) t2 h$ j* F+ ^, @3 ofor(k=0;k<lchrom;k++)
) U$ ? O% ^# G. S refpd=refpd+dd[k*lchrom+k+2];
& h2 ?4 X8 R5 e' T" Z4 A+ X. ]for(j=0;j<lchrom;j++)
5 s7 f! Z# j* |, f dd[j*lchrom+j]=4.0*maxdd;
4 W6 q$ a# c" J0 A% T9 qff=(0.765*maxxy*pow(lchrom,0.5));, w' P" w, k' N3 \1 V4 T: B
minpp=0;
0 L" I* ^% H- ]+ ^min=dd[lchrom-1];
* C" W. [+ Z0 ~" ]for(j=0;j<lchrom-1;j++)# D3 R. L# v* F# k8 W2 u
{if(dd[lchrom*j+lchrom-1]<min); X2 I3 z; Q n, x, V% d( b
{min=dd[lchrom*j+lchrom-1];/ H) k! f% {+ V% V! h" `1 ^
minpp=j;
5 w1 C5 O2 A4 z3 X, j2 @}5 ]9 \4 s% y$ d3 i3 V# P
}, n# ?, f) B; r7 R ]3 {
initpop();, M% |4 _' M, D
statistics(oldpop);
6 R$ M% J3 _. H" uinitreport();6 b( c% Q$ U0 _+ C2 o* w
}</P>
* M T7 v1 y2 I- E<P>/*&&&&&&&&&&&&&&&&&&*/</P>
% U3 T9 C' ^0 |4 m$ K. E Q<P>void report(int l,struct pp *pop)
1 z* o0 x8 h e% S6 U4 ?{int k,ix,iy,jx,jy;6 {* M& E4 T/ ~- ~
unsigned int tt;/ H( g' n6 l5 S1 [$ w& [
float ttt;
) B9 L1 b# K! r5 ucleardevice();: I! D& z( U1 ?6 A# q* B
gotoxy(1,1);
" ?, h( z& I- I) gprintf("city:%4d para_size:%4d maxgen:%4d ref_tour:%f\n"
% k, T g2 Q" t8 n/ M% W ,lchrom,popsize,maxgen,refpd);
& j3 q3 ]% J( z3 `% I( g1 vprintf("ncross:%4d Nmutation:%4d Rungen:%4d AVG=%8.4f MIN=%8.4f\n\n"2 X. M+ B+ e! ?8 v, F
,ncross,nmutation,l,avg,min);) T5 X7 y8 _/ q# @; e2 ~1 s. ]
printf("Ref.cominpath:%6.4f Minpath length:%10.4f Ref_co_tour:%f\n"
3 u' B: R, q2 O+ f+ D$ ?% L ,pop[maxpp].x/maxxy,pop[maxpp].x,ff);
M$ L9 l( T9 c3 h jprintf("Co_minpath:%6.4f Maxfit:%10.8f"
- a, Y7 R0 E+ ~2 \ ,100.0*pop[maxpp].x/ff,pop[maxpp].fitness);8 _2 \! ?- {, E, z H) Q5 Z- E
ttt=clock()/18.2;0 n+ m1 q0 ~* m! g
tt=ttt/60;
0 c% X4 l3 C, q, eprintf("Run clock:%2d:%2d:%4d.2f\n",tt/60,tt%60,ttt-tt*60.0);/ X1 S, n+ s3 W5 d- z
setcolor(1%15+1);
8 d9 s, P0 k ?9 q. Efor(k=0;k<lchrom-1;k++)+ d% t8 p5 Q$ }2 t8 R
{ix=x[pop[maxpp].chrom[k]];' ~8 A- W( j4 T' X
iy=y[pop[maxpp].chrom[k]]+110;" H) `* [& d) r. i6 n
jx=x[pop[maxpp].chrom[k+1]];
" T4 m( a+ @+ _ jy=y[pop[maxpp].chrom[k+1]]+110;
* e8 E8 w* _) Z( P1 w7 G& P# l line(ix,iy,jx,jy);0 y Y8 m7 o- ~* h5 W
putpixel(ix,iy,RED);: \8 \+ K% [" Q3 @, w8 b/ m
}
; r& _# S( g8 W& Jix=x[pop[maxpp].chrom[0]];
+ a! M, d$ T5 D3 Qiy=y[pop[maxpp].chrom[0]]+110;' R5 K8 r* X- d, G7 }: P* O
jx=x[pop[maxpp].chrom[lchrom-1]];
3 I: q/ @; m- I5 ~8 d! ]/ [0 {jy=y[pop[maxpp].chrom[lchrom-1]]+110;( V! w' {. ], N3 m% r7 Q
line(ix,iy,jx,jy);2 Q2 l5 K* C% c# P
putpixel(jx,jy,RED);' K6 e; E6 \; r8 J+ V# O
setcolor(11);1 a; \& {2 i/ J9 G; f1 D( `
outtextxy(ix,iy,"*");
& |+ Z5 E- X0 ~setcolor(12);: u7 Y% |- [# p- O" d
for(k=0;k<1%200;k++)
/ o. ?: \. U n6 a+ X {ix=k+280;0 u/ I& n- ?: |; A/ [4 H
iy=366-fm[k]/3;
1 K; B7 p) ~! T jx=ix+1;' [7 |) y+ _) v. V+ \& _
jy=366-fm[k+1]/3;: l# B+ x. ?7 u# |( I& H
line(ix,iy,jx,jy);
1 V* o1 U+ c5 Y putpixel(ix,iy,RED);9 g9 v# S- e) l5 [/ w
}
: F( y2 o5 I( n9 P0 q* A3 J3 cprintf("GEN:%3d",l);" O8 N. A+ W/ o# u% G. P3 a! f. Q$ _
printf("Minpath:%f Maxfit:%f",pop[maxpp].x,pop[maxpp].fitness);
- _, W" V$ C* \$ T; f) bprintf("Clock:%2d:%2d:%4.2f\n",tt/60,tt%60,ttt-tt*60.0);/ Q, x# _( B3 V" r
}</P>0 `* S" E. Z. C& d2 {7 D
<P>/*###############*/</P>
7 O T1 u, p& q& p! c<P>float decode(unsigned char *pp)
8 } z, R: o/ ~1 P/ R{int j,k,l;) B H9 ^7 k( ]2 y0 z! `2 k
float tt;
1 j& P- n9 ?' V4 s+ htt=dd[pp[0]*lchrom+pp[lchrom-1]];
7 t& \2 y" |5 i. O* e7 `for(j=0;j<lchrom-1;j++). }* O# M* U! h: {- ?! O3 Z. s
{tt=tt+dd[pp[j]*lchrom+pp[j+1]];}
, {6 D% t& k: |$ b' k7 d/ ^& _2 U2 J4 Rl=0;9 \5 [5 D! ]' l |2 s* s
for(k=0;k<lchrom-1;k++)
* O4 @+ m R$ {7 F9 E for(j=k+1;j<lchrom;j++)) a' j5 g+ L2 ^, G0 r" T' x
{if(pp[j]==pp[k])l++;}
! K) i; P* s- \' H9 xreturn tt+4*l*maxdd;& y; c0 P/ V8 N
}</P>
7 o% x) G% C+ [- b9 u' B7 Q: F<P>/*%%%%%%%%%%%%%%%%%%*/
! G4 X+ Z4 ~+ U' \. [0 gvoid crtinit(): t2 k5 ]8 f" ~# T, U
{int driver,mode;
; v# Z- i. p! u( z: ~struct palettetype p;
0 c6 P( P. Q edriver=DETECT;
( h/ Q' K5 z' Z* lmode=0;4 M) D4 n0 p4 R
initgraph(&driver,&mode,"");
. n! y7 L( Z3 u0 K6 Mcleardevice();$ V. I! {9 g% u$ ^' b+ k
}</P>
% C% } ^6 J+ Z+ w# X<P>/*$$$$$$$$$$$$$$$$$$$$*/
" L* e9 J6 J0 @' {2 g7 ~int select()2 E ^2 j6 y _' r2 G( v9 k
{double rand1,partsum;
& C% ~& \/ h; u( S' c X, tfloat r1;+ V( c0 j8 y7 \! ^' P0 r& J4 _8 ~5 F
int j;
; ?5 \9 w' J0 R3 zpartsum=0.0;
: Y, C8 a3 H) qj=0;: x# p# I* Y" c2 I0 o. f, F
rand1=random1()*sumfitness;
# A; H) M4 ?2 Y; hdo{
1 P6 e* B4 O( P" [3 w3 w( A: Y9 r: b partsum=partsum+oldpop[j].fitness;# U% u% ?% P5 C1 S8 O+ i: E/ s9 g
j=j+1;
: i$ }" o/ p) b& q- v; Q }while((partsum<rand1)&&(j<popsize));
7 u' w; }7 b) v# D. P- n, creturn j-1;1 Q( F* V" p/ U- i9 r
}</P>8 M3 S: V% c$ b, F% u9 G
<P>/*$$$$$$$$$$$$$$$*/
0 l# I# q: K( d2 d$ v+ W3 `int crossover(unsigned char *parent1,unsigned char *parent2,int k5)
% u3 |* |7 Q* T$ u4 {{int k,j,mutate,i1,i2,j5;, {8 L; z1 e" r- l! d m
int j1,j2,j3,s0,s1,s2;
4 ?6 f) [& Y4 [unsigned char jj,ts1[maxstring],ts2[maxstring];
/ F0 y9 S' \/ [+ `8 n8 {float f1,f2;' g% C* F3 M: X1 F
s0=0;s1=0;s2=0;6 ^, p; c1 \' R9 i) H0 l/ @5 z6 u
if(flip(pcross))
# c( z' c9 C% g2 j {jcross=random(lchrom-1);, T; t" [2 P4 W. W+ E7 B' ^1 b
j5=random(lchrom-1);8 c6 P0 \5 C% P
ncross=ncross+1;0 D/ _& z/ W0 P6 l
if(jcross>j5){k=jcross;jcross=j5;j5=k;}
v) |- S% z! a. A5 _3 O! C }+ c4 a& c9 f/ P+ X, }, h( a4 z
else jcross=lchrom;
- s9 I/ b% A" \% W, b& C5 z+ W/ a# iif(jcross!=lchrom)
. c8 d1 p8 D) V/ b {s0=1;5 y# s$ X- y. s( A
k=0;
' I8 i& T; x' h for(j=jcross;j<j5;j++): m& P G! v! h% @
{ts1[k]=parent1[j];' ~$ x1 ]3 g5 H
ts2[k]=parent2[j];3 f: H2 r0 }, a) A: q$ m- e
k++;: \" v7 u# ~; z3 e
}% z/ W! G' }- T I" Q. K) y
j3=k;
# r; r# j9 l5 _ for(j=0;j<lchrom;j++)
) ~# O6 U1 Z9 A7 X; I I$ L6 P. x+ h {j2=0;$ O7 Q; ?/ g2 l: t. T
while((parent2[j]!=ts1[j2])&&(j2<k)){j2++;}
$ m" R' I0 |: x$ k7 @8 Vif(j2==k)
8 m* v4 M2 ]. V/ d! @ {ts1[j3]=parent2[j];
2 G. n3 l$ ^2 G6 T' u0 ~) @" x/ ?1 t9 _ j3++;2 r+ L: e5 }3 K8 t! ^0 ^ y3 l" y
}
) j7 |# X, Q+ G. o4 H# {8 e }, o2 ] d, D) m# P. a
j3=k;
* \# B" o# c0 ~2 y3 i2 g for(j=0;j<lchrom;j++)
/ E# C. A" P+ i. c- J {j2=0; c! f8 D. f) o
while((parent1[j]!=ts2[j2])&&(j2<k)){j2++;}
* M+ @4 V! ?2 w% ?" d! Bif(j2==k)+ I0 \, Y5 e8 n I. a+ L+ p
{ts2[j3]=parent1[j];8 _ A. S+ C) L2 s
j3++;( p3 o! x1 g) g1 n! i; r. G
}4 y7 z! `7 h1 M, D1 N. S
}
+ m" C6 `- X( D+ a x4 C- ]) \ for(j=0;j<lchrom;j++)* O8 s+ r0 v+ g x0 l ~
{newpop[k5].chrom[j]=ts1[j];
- x! @1 p; v: ]2 i4 Qnewpop[k5+1].chrom[j]=ts2[j];
@ Z$ V( Q( S* z' h }: Z* b% K# {! I! c8 X& L
}$ U8 [2 Q& k+ A
else
8 }- ?/ G8 V0 q {for(j=0;j<lchrom;j++): Y5 h. `1 y c+ n, U2 M; J
{newpop[k5].chrom[j]=parent1[j];. k( @0 m( X( ?2 q1 {
newpop[k5+1].chrom[j]=parent2[j];3 g8 r/ E0 D$ d4 |8 v
}
i& f, i/ B; l0 E mutate=flip(pmutation);% }2 N0 K- t$ Q% N% w: `- H9 Z
if(mutate)
! H' Y: ?& w" W: K2 e L$ j2 Z- S {s1=1;! R/ i1 V# t, A7 C, w$ d
nmutation=nmutation+1;/ W, P/ o; ]# _- I6 \2 _1 H
for(j3=0;j3<200;j3++)4 r7 @( B8 \* t3 c* B+ L/ ^* `
{j1=random(lchrom);
( N9 u' U+ C& ~0 ~: v# y4 S8 e j=random(lchrom);+ X* L5 [, B/ T- i7 F1 a
jj=newpop[k5].chrom[j]; P$ f9 C0 E: o& G
newpop[k5].chrom[j]=newpop[k5].chrom[j1];, I- s) E% l6 B6 S" G# r! b
newpop[k5].chrom[j1]=jj;
1 E4 M! G& i% v" D( [; R! S9 G }
5 ~- J# D% O1 V* Y1 ]7 K }6 q7 S$ Z: A9 P
mutate=flip(pmutation);
( v+ N& O; F0 N t! d if(mutate)
6 I6 b6 F: I [+ f/ w {s2=1;- {, t7 X* E! _* B( _, Z8 b/ J9 F# @
nmutation=nmutation+1;
0 L) I& {: g- G2 Y for(j3=0;j3<100;j3++), F9 C+ ?* y5 Y$ R$ s
{j1=random(lchrom);- w A: E* Z4 f5 c, Y8 G8 Z
j=random(lchrom);2 q3 c3 ?+ Z* E) w
jj=newpop[k5+1].chrom[j];
7 y2 c8 ~2 o0 B newpop[k5+1].chrom[j]=newpop[k5+1].chrom[j1];
5 x; _* W) o6 z0 K. T( L/ }" u newpop[k5+1].chrom[j1]=jj;1 s2 W& |% q7 e" i4 N
}
- O5 P" h# W5 H/ C( h; q$ } }
# @7 \! Q1 C- Z7 z3 O* r! n1 s }/ j* p* ?- o2 k% n0 L, U( L
j2=random(2*lchrom/3);+ e, C7 h# d( N$ j
for(j=j2;j<j2+lchrom/3-1;j++)6 S0 q l! O4 A
for(k=0;k<lchrom;k++)
& F1 ~# J& t; @7 h1 }7 G {if(k==j)continue;
! W, |, H, I, r2 X) i7 W5 l7 ^) wif(k>j){i2=k;i1=j;}+ \# v, w- g( N5 V
else{i1=k;i2=j;}
( x3 W. D* x2 ?f1=dd[lchrom*newpop[k5].chrom[i1]+newpop[k5].chrom[i2]];" U3 }4 ]8 m' q0 M, o; I
f1=f1+dd[lchrom*newpop[k5].chrom[(i1+1)%lchrom]+
7 w/ k; X0 v) M- P$ @ N newpop[k5].chrom[(i2+1)%lchrom]];8 o& c3 D) v$ D1 {! ?6 E$ o
f2=dd[lchrom*newpop[k5].chrom[i1]+
8 K" U4 p% q# M& R newpop[k5].chrom[(i1+1)%lchrom]];
2 S! O: M: R. t! G0 q; s1 yf2=f2+dd[lchrom*newpop[k5].chrom[i2]+& n) F3 G8 @ _2 X* @
newpop[k5].chrom[(i2+1)%lchrom]];
) Q1 e& @+ n- {" H6 \if(f1<f2){inversion(i1,i2,newpop[k5].chrom);}
* l" r1 ~5 _$ u4 @( C2 C }" H, v2 R. D1 }$ L0 z" d2 {
j2=random(2*lchrom/3);% w) w h; U* }* w
for(j=j2;j<j2+lchrom/3-1;j++): j4 ?& ~1 \: M: I5 d5 C
for(k=0;k<lchrom;k++)
/ g2 R! o; v3 w3 R1 t% q3 R {if(k==j)continue;4 g+ w/ A2 `+ K3 `/ U
if(k>j){i2=k;i1=j;}- f& P" _/ H$ a$ ?: ^4 E, L0 {# @
else{i1=k;i2=j;}+ a: \* x1 l" n$ G
f1=dd[lchrom*newpop[k5+1].chrom[i1]+newpop[k5+1].chrom[i2]];0 V6 H7 D0 F5 u- w, c# V$ a, T3 z1 P
f1=f1+dd[lchrom*newpop[k5+1].chrom[(i1+1)%lchrom]+
( S2 M2 G5 R7 h) s; Z8 |0 [ newpop[k5+1].chrom[(i2+1)%lchrom]]; ]# g. ?3 N, H' Z2 I. c
f2=dd[lchrom*newpop[k5+1].chrom[i1]+
/ B$ Q' L6 i0 g6 P newpop[k5+1].chrom[(i1+1)%lchrom]];
4 [+ {8 Q2 K8 M5 s1 A! vf2=f2+dd[lchrom*newpop[k5+1].chrom[i2]+& t$ k3 ~8 i1 M
newpop[k5+1].chrom[(i2+1)%lchrom]];* p) r; j' H. w& v: u
if(f1<f2){inversion(i1,i2,newpop[k5+1].chrom);}2 u" R6 V7 A- e& ^
}
. L* W2 D Z; j1 |4 ]2 B8 e( m) @ return 1;
7 ~4 v7 @5 z8 @; m o M}</P>1 ~' }+ @4 u* p9 l l q
<P>/*$$$$$$$$$$$$$$$*/</P>5 c$ @. g) ^" J2 w" _
<P>void inversion(unsigned int k,unsigned int j,unsigned char *ss)
7 ]2 l( j5 T# s( f: n3 z{unsigned int l1,i;& \/ z3 |/ [4 Z0 n
unsigned char tt;; {' L% o" |$ B" u3 `4 C/ b$ i; l8 G
l1=(j-k)/2;! Y1 @% v. A, G \1 q7 g
for(i=0;i<l1;i++)
3 \& k6 }% o+ @9 w: i8 N( A {tt=ss[k+i+1];
" V/ ^& F. t4 _7 E" ^8 R9 C9 X6 U ss[k+i+1]=ss[j-i];
+ c; j( E8 _- h ss[j-i]=tt;# o- `2 N; b2 a, W7 q
}
& i9 q2 o, @9 G4 n2 [) |$ g}</P>
% m+ g" V, h3 u- @7 D" H0 \<P>/*%%%%%%%%%%%%%%%*/</P>
" o m# ~0 s6 d3 A* i( H( H<P>void randomize1()8 n7 h- y! C6 A) y
{int i;5 Y8 J X* k p ?5 \
randomize();
% m( w- g& o! @7 t, e. ?8 Lfor(i=0;i<lchrom;i++)2 }7 b, y9 c6 u P" f' O/ \5 x2 V8 W
oldrand=random(30001)/30000.0;
; Y6 n b2 j5 y% J& _$ Jjrand=0;
3 |0 L, A" _4 ?7 \; T# X}</P>
4 o) i% o6 g1 ]% x<P>/*%%%%%%%%%%%*/</P>
! Z8 U# ^* [! I8 O3 S/ H<P>float random1()
: {: s0 W8 V8 G% W' g( `" m$ \{jrand=jrand+1;
x$ U% V) ?# I/ b% Bif(jrand>=lchrom)
- ?* S4 F, V! B4 T" ~0 z! h {jrand=0;1 H; v6 [1 Y; u+ K4 Y2 q- H
randomize1();
+ O; n4 X4 h M4 d7 e3 k5 U" p1 c. I }
4 N) I& ~/ ^$ g/ k3 O$ ], Z5 e) y8 Treturn oldrand[jrand];$ B' B. c5 K/ h. Z2 j# Y
}</P># k- g) [5 ^6 j8 A. ~
<P>/*%%%%%%%%%%*/</P>1 o& `' x: B3 t* e K$ D* Z8 O+ G
<P>int flip(float probability)
4 j5 G2 Q$ X, v# a$ Y0 `' p0 e{float ppp;+ r( j3 V$ H- ]$ @* J( I" u
ppp=random(20001)/20000.0;
4 |- `8 F$ P. { {if(ppp<=probability)return 1;
4 G2 c4 {) g' Q: C3 B) l8 hreturn 0;0 P6 ~; ^6 F# C; x; X# h
}</P></DIV>4 l2 n8 E7 G6 `5 }9 \
n3 ]& M0 N5 f- D" Z( q: z3 u( A<P>改进后用来求解VRP问题的Delphi程序:</P>0 \8 r7 O2 m' d/ A
<DIV class=HtmlCode>" o* \4 N* K2 T- k
<P>unit uEA;</P>
* ?$ y5 t& r( q% e<P>interface</P>8 O& i9 o/ O8 L
<P>uses ` B' {- p* s3 F/ H- [# c
uUtilsEA, uIEA, uITSP, Classes, GaPara, windows, SysUtils, fEA_TSP;</P>/ }9 y" }# y$ K/ H1 V
<P>type1 z# @& E/ r, Q8 k
TIndividual = class(TInterfacedObject, IIndividual)
# `0 w, J) @1 k/ F' Yprivate
( z, h8 ~3 w H) y! T% c6 R// The internally stored fitness value' r+ r0 w. J) n' d' f
fFitness: TFloat;
% {: Z& S5 \( X0 H% l4 Y0 |' W9 wfWeConstrain: integer;
8 H* ~9 s( M/ o( Z" q4 _fBackConstrain: integer;# i, A6 a+ P1 S! F0 G
fTimeConstrain: integer;/ e- Q5 k( ^1 f1 i' y8 K. Z: ~
procedure SetFitness(const Value: TFloat);/ w6 f$ e& K: F4 [& ~
function GetFitness: TFloat;: k3 a" v% a% `4 Y( \7 R$ I
function GetWeConstrain: integer;
8 W/ m" k6 `7 u3 Z& N1 O! \procedure SetWeConstrain(const Value: integer);
! Z0 ?0 ^6 P6 a9 Y( ~procedure SetBackConstrain(const Value: integer);- W; x5 t1 p9 K2 d1 L
function GetBackConstrain: integer;6 N; |) e8 p" Q z5 i/ f
function GetTimeConstrain: integer;
1 |3 y+ J2 I# Z8 O9 f- }procedure SetTimeConstrain(const Value: integer);3 o, W* b3 b$ V6 [
public
1 f* S1 ~2 c7 f5 P! i8 H1 Z8 Tproperty Fitness : TFloat read GetFitness write SetFitness;
9 _% @* g v* s" o5 V4 B1 g# Tproperty WeConstrain :integer read GetWeConstrain write SetWeConstrain;
' G$ d" _# ]0 zproperty BackConstrain :integer read GetBackConstrain write SetBackConstrain;% s; u* X0 l% Y" S
property TimeConstrain :integer read GetTimeConstrain write SetTimeConstrain;: ]& c: t, J7 k" J/ u# l2 G
end;</P>$ m1 Q- z, g+ U b0 x
<P>TTSPIndividual = class(TIndividual, ITSPIndividual)
* ~% @0 k5 V1 Uprivate4 h! r- U$ }- s: L1 ]
// The route we travel/ K" ]9 ?, b9 V, O
fRouteArray : ArrayInt;3 d" _. ~$ J- q) I
fWeConstrain: integer;/ I6 ? u! R$ Z
fBackConstrain: integer;+ V0 X/ r" U- D* b" q& p p' L
fTimeConstrain: integer;
7 `0 B. C. j& \! M; Lfunction GetRouteArray(I: Integer): Integer;
/ r- e4 ^( O* D: fprocedure SetRouteArray(I: Integer; const Value: Integer);
- T3 E! m8 _- q- W! s7 f' @procedure SetSteps(const Value: Integer);* U9 ]5 M% [% h
function GetSteps: Integer;3 @: x7 s+ z" E1 C
function GetWeConstrain: integer;
- m! C. ^6 I6 qprocedure SetWeConstrain(const Value: integer);8 B1 [9 Y* j$ @# b: {
procedure SetBackConstrain(const Value: integer);
( X/ f7 x# X, N* v/ mprocedure SetTimeConstrain(const Value: integer);, f; Q# j8 E$ U! z1 P2 F: d
function GetBackConstrain: integer;. [( w' u4 I, j- y( H
function GetTimeConstrain: integer;- z t" K. U" `. q7 f" c Q
public5 u5 ?1 L3 K" I; K$ ?& f
// Constructor, called with initial route size! f# [2 m$ G& x
constructor Create(Size : TInt); reintroduce;
5 D. H) [4 i# h# h6 [0 l! xdestructor Destroy; override;
6 Z) j7 \& p7 y% W5 P; Lproperty RouteArray[I : Integer] : Integer read GetRouteArray write SetRouteArray;
5 g. n) D) z+ ]* c' u' w// The number of steps on the route
6 s' @% F' `2 n4 {$ ?property Steps : Integer read GetSteps write SetSteps;
5 V, V: m0 a8 C! o- r$ Uproperty Fitness : TFloat read GetFitness write SetFitness;
$ h: W; _& u6 U: B& r! G4 jproperty WeConstrain :integer read GetWeConstrain write SetWeConstrain;8 [1 c0 @1 R, V3 M4 u. E
property BackConstrain :integer read GetWeConstrain write SetBackConstrain;
( T1 u1 t& h+ U! w. ^7 O# L% Qproperty TimeConstrain :integer read GetTimeConstrain write SetTimeConstrain;
) z; S; Z9 c/ ]& N6 Rend;</P>
" R$ d# `# [# o# E7 @( ]& v$ m<P>TTSPCreator = class(TInterfacedObject, ITSPCreator) [- E* [& P) R* l+ i) s y
private' ?* b( e6 @6 i' d5 N* w
// The Control component we are associated with
2 O3 e6 V; O0 G6 y7 pfController: ITSPController;
6 @* ^% k4 u% ?0 ]- b, \function GetController: ITSPController; X7 j, O$ o& V/ F
procedure SetController(const Value: ITSPController);
) m6 }3 M1 z1 R5 fpublic
, {6 `4 F- c0 f3 `) B& Q# |3 b0 Z// Function to create a random individual
+ s$ ` r |/ V4 Sfunction CreateIndividual : IIndividual;; y i# Q# y( |7 l6 Y% Z" V0 w
function CreateFeasibleIndividual: IIndividual;
+ [" F1 n# [6 N. U# j+ Wproperty Controller : ITSPController read GetController write SetController;
7 q8 w, }8 C$ l. T mend;</P>2 ~- Q. f& h% v' `* @5 u' E5 e* z
<P>TKillerPercentage = class(TInterfacedObject, IKillerPercentage). X- z# }0 ~& Y! V# j
private7 B* o& r, Z7 y# j& y
fPer: TFloat;2 V4 e! [0 }0 G
procedure SetPercentage(const Value: TFloat);
7 h$ e i/ h: e" A1 qfunction GetPercentage: TFloat;$ K; d( D$ J: p0 C
public
& T5 Y- r1 ^) V$ B( U" Qfunction Kill(Pop : IPopulation): Integer;
7 y$ M' [. U8 Y0 ~' i8 G% m// Percentage of population to be killed! ]2 p3 w* Y$ p
property Percentage: TFloat read GetPercentage write SetPercentage;
$ V$ o4 V1 L: V5 G$ \end;</P> l" I* t% P+ N3 G# L
<P>TParentSelectorTournament = class(TInterfacedObject, IParentSelector)9 H! E1 y" v& B& {
public
7 d5 u5 r. {! g# t. \+ o9 P, s P3 Kfunction SelectParent(Population: IPopulation): IIndividual;& K5 L5 M. f) s2 y4 x6 `% U# [
end;</P>* n Y/ G( |" X e: a
<P>TTSPBreederCrossover = class(TInterfacedObject, IBreeder)
. ~" J' L) |* ^! tpublic
}4 |+ k5 V+ \7 kfunction BreedOffspring(PSelector: IParentSelector; Pop: IPopulation): IIndividual;5 `8 P, s/ K% Z. I" U* l |
end;</P>
1 f5 W+ N, V& i& y; }# h1 ^4 ~1 }<P>TTSPMutator = class(TInterfacedObject, ITSPMutator)* g6 I4 m# w$ s. C. }' N' B8 E
private
7 A! I" S! n) y5 s% GfTrans: TFloat;
7 w, g; B% I( T, U& Z# W0 sfInv: TFloat;
: a0 F4 u# v2 v. I( S6 Sprocedure SetInv(const Value: TFloat);
) E# l7 {7 C& J# {* I$ uprocedure SetTrans(const Value: TFloat);
- p; o( @! f3 }6 E5 ]# Rfunction GetInv: TFloat;
, O- B) D, q% @$ D5 cfunction GetTrans: TFloat;
; I4 s# N$ F: s' |public! A0 [3 e' J+ t; \
procedure Mutate(Individual: IIndividual);
# h; `( Z, a L6 xpublished
# I2 ]5 V' z6 q. O$ A6 W// Probability of doing a transposition
1 i* `- S: [% |- R) {+ i3 Oproperty Transposition: TFloat read GetTrans write SetTrans;0 P) N* G0 Z. ], Q* p& D; v: ^
// Probability of doing an inversion* T$ T% M2 i# D$ O4 m9 m, N
property Inversion: TFloat read GetInv write SetInv;
* {4 \# q( a. v& p% Wend;</P>, z( z7 W8 ~' Q
<P>TTSPExaminer = class(TInterfacedObject, ITSPExaminer)
; z1 v8 t7 f' mprivate
1 p& y {/ [, ? e1 l6 J$ F9 B& T// The Control component we are associated with1 B% r8 P2 F' e: L
fController: ITSPController;
, ~- y0 m9 x7 jfunction GetController: ITSPController;1 H" K2 {% G7 b2 g6 a
procedure SetController(const Value: ITSPController);6 C( l3 i( d0 P3 d. \2 `1 ~
public- e4 H6 Q# H7 W: V4 u+ y" }
// Returns the fitness of an individual as a real number where 0 => best
6 r3 C4 ~. W( u" j. L' a: _, Pfunction GetFitness(Individual : IIndividual) : TFloat;+ j+ h1 W; [9 z) {6 R( _, u
property Controller : ITSPController read GetController write SetController;$ T9 x" y- b6 Q+ m8 p; R
end;</P>
) [- l/ ]+ v2 Y<P>TPopulation = class(TInterfacedObject, IPopulation)7 Y \) U6 X Z) E8 m8 d4 O
private
: i' o- [1 B# R D4 N// The population
& k- Q4 `+ _; `7 a4 NfPop : TInterfaceList;& _! V/ v! S5 \0 |
// Worker for breeding
+ b. D7 [# a3 XfBreeder: IBreeder;
6 Q8 I# {; Y6 C// Worker for killing4 L. G( T5 A4 J
fKiller: IKiller;0 W4 p1 u# }' G. ^; W3 ]
// Worker for parent selection5 Y, d' n, r/ A, {
fParentSelector: IParentSelector;, Y3 E1 t2 M. P+ o" A
// Worker for mutation
4 p$ d% O6 _8 O. P; M3 A4 p& `fMutator: IMutator;. m$ R G3 c8 r5 p
// Worker for initial creation1 g+ y5 A0 f* v( m& @
fCreator: ICreator;& C: x% J2 g* A$ f5 F
// Worker for fitness calculation% W( a! ^6 P/ R _0 F1 S/ Z+ t
fExaminer: IExaminer; q, n, p( M) ~+ r' c9 M
// On Change event8 o0 F/ d+ Z* g) i' D
FOnChange: TNotifyEvent;
! Z1 q# E! p4 ~0 kprocedure Change;
. B0 s1 { Y& V1 k1 z) [// Getters and Setters
; u, _3 u% Y- Ffunction GetIndividual(I: Integer): IIndividual;5 E! x; I' v" q
function GetCount: Integer;2 T$ b. M2 z1 E: G ? m0 o; P
function GetBreeder: IBreeder;$ U" X' l6 ^9 u' M6 {% v+ U
function GetCreator: ICreator;
, P9 {( F* U& ?* Z- B+ S& Dfunction GetExaminer: IExaminer;" q7 u7 ^$ h( b
function GetKiller: IKiller;
# d ^7 M) l& v& Z) }5 l! ]function GetMutator: IMutator;
' z3 ~9 e+ _4 X/ ~% g2 ]& }function GetOnChange: TNotifyEvent;% A2 x& Y: }0 u0 y
function GetParentSelector: IParentSelector; {7 S, ?7 F7 e# z. Z
procedure SetBreeder(const Value: IBreeder);+ Z* D: S1 F) t2 [$ Z5 k/ r% n
procedure SetCreator(const Value: ICreator); [4 x1 s! S+ r" P, L, X- Z9 x" e5 o
procedure SetExaminer(const Value: IExaminer);& N; u; O$ y: q/ y* h' x
procedure SetKiller(const Value: IKiller);
+ W3 M/ x+ f: M7 W; E. [; _( c3 Jprocedure SetMutator(const Value: IMutator);/ ?4 ?3 k1 S4 c+ L7 r( i T
procedure SetOnChange(const Value: TNotifyEvent);
: E, ^ ^5 e7 W$ C) J" R1 Oprocedure SetParentSelector(const Value: IParentSelector);
/ n: R3 E( v5 _% @- x& I' t S7 k// not interfaced+ S* u1 G6 ^* p3 Q; W% ]+ G2 {
procedure DanQuickSort(SortList: TInterfaceList; L, R: Integer; SCompare: TInterfaceCompare);
, @+ H* v$ ?. M9 d% [procedure Sort(Compare: TInterfaceCompare);
. m; g9 r, G6 n; v: H3 U1 Oprotected0 q! Y9 Q6 j$ \" ?: {3 E4 ]! a5 {
// Comparison function for Sort()
) Y1 {1 q0 l0 }function CompareIndividuals(I1, I2: IIndividual): Integer;# W. d h& g) ?4 f( @3 p6 Q8 F4 s5 I
// Sort the population
; y+ O5 u. A4 O7 ^procedure SortPopulation;9 \* J( A3 z7 v4 r, r
public7 {& V9 x/ D. D! [& S( n1 ?9 Q, R
// The constructor, V: d6 w! W/ r: `4 L
constructor Create;
. _. r" u- M. e4 x/ c# }// The destructor
# c/ r4 p; J: t9 ddestructor Destroy; override;3 a8 e3 @, n6 E( |% M) ?# @
// Adds an individual to the population7 {6 Y9 J: D* }9 Y
procedure Add(New : IIndividual);% |% i! _( I5 M7 j+ J, N9 O
// Deletes an individual from the population! {, _- M) ^( e# i: ]
procedure Delete(I : Integer);5 ]/ e6 _# f1 l+ }/ y
// Runs a single generation
0 V$ w( m. O# o9 Hprocedure Generation;' C1 N! P: j, R& O# E I8 ]
// Initialise the population
: M2 ?) |, K' X( s1 ~; W3 f0 I/ ^procedure Initialise(Size : Integer);
0 H4 i- t9 U+ C// Clear ourselves out I2 r+ B* r4 x! ^
procedure Clear;/ W" u8 Y0 Q& h% M7 e
// Get the fitness of an individual1 n: z3 R# l+ s: B: _& h% F
function FitnessOf(I : Integer) : TFloat;
* C8 V$ f) x# F1 ^2 \$ }$ \// Access to the population members& k# M5 N4 x# G0 D3 x. l+ r. v( g; N
property Pop[I : Integer] : IIndividual read GetIndividual; default;
' Q2 s9 N0 U3 Z. G# O' s* ^: W! R// The size of the population4 j: ?% r* {! D
property Count : Integer read GetCount;9 N. j7 S ~5 K- |
property ParentSelector : IParentSelector read GetParentSelector write SetParentSelector;
( D6 `! ~) {' y# K; N; s/ ~% W7 _property Breeder : IBreeder read GetBreeder write SetBreeder;. N" d! m( r* U& Q& A+ X" v
property Killer : IKiller read GetKiller write SetKiller;
0 O" e+ n0 z9 U, t! V$ Fproperty Mutator : IMutator read GetMutator write SetMutator;
4 r6 |: ]& C. c: ?4 V" M1 C; [property Creator : ICreator read GetCreator write SetCreator;3 s; ^+ x; u9 F+ p2 q
property Examiner : IExaminer read GetExaminer write SetExaminer;
8 i" `, {* J! _/ s* z// An event- U# [ B3 a/ M+ F/ a5 ^; N
property OnChange : TNotifyEvent read GetOnChange write SetOnChange;
) S8 j6 g# B( Fend;</P>
1 C" \/ e/ X5 C! X2 V+ }<P>TTSPController = class(TInterfacedObject, ITSPController)5 z% r& V: s2 `3 ~ X, T7 ^
private
, x* x" g* C- ~8 T: H- q# a, BfXmin, fXmax, fYmin, fYmax: TFloat;8 m/ @: s! a, f. x5 ]
{ The array of 'cities' }
/ O6 [* O! I9 @6 a+ I" N1 rfCities : array of TPoint2D;) j. u) M9 M% o# @; u2 ]% M
{ The array of 'vehicles' }
0 G2 g! Y& A- k8 K4 |1 h- HfVehicles : array of TVehicle;
Y0 S6 ?; t9 _% ]{ The array of 'vehicle number' }
* |2 k! E1 }, f6 ~# p+ o+ Z9 ^5 Y" e- AfNoVehicles : ArrayInt;/////////////////////
$ d% L& X0 C; A/ \% [{ The number of 'new cities' }3 f$ Z+ J. @5 d8 s7 q4 W5 ^7 h
fCityCount: Integer;
- @: E+ U4 |& S! f$ Z% n{ The number of 'old cities' }5 W9 Y# m3 n; z8 \- e- l8 b
foldCityCount: Integer;
; t3 r2 M% R8 U, b2 z{ The number of 'travelers' }
/ ^# h+ k. @+ ]/ M0 EfTravelCount:Integer; ///////////////////////$ Q0 R1 d7 e9 t) g9 Z
{ The number of 'depots' }4 N' B# E/ A$ ^4 m# z. ]& g8 l
fDepotCount:Integer; ///////////////////////
7 O# Z5 g* z5 h2 _1 F/ u4 i8 H# e{ Getters... }
' v# R1 @/ `7 d7 ^8 j/ P- r+ Hfunction GetCity(I: Integer): TPoint2D;# A" R/ j, G% `1 R3 o6 k- g
function GetNoVehicle(I: Integer): TInt;
: p( W+ V& x8 J8 ]) q5 T Sfunction GetCityCount: Integer;
: X) J! m- B7 O( Ffunction GetOldCityCount: Integer;% O; z1 N; p8 ?' Z7 Z! o
function GetTravelCount:Integer;' f. j: S& ~, _8 w4 Z, P1 F
function GetDepotCount:Integer;) J* H3 S8 ^ Z5 ~
function GetXmax: TFloat;8 X2 C: L* ]& M4 m4 @' x, D
function GetXmin: TFloat;! O' A3 ?) U+ q5 y5 {
function GetYmax: TFloat;
' |- U( ?) d1 o# W- g& t qfunction GetYmin: TFloat;5 y* b# o; P* m& U, d. r6 Q$ h
{ Setters... }
1 I( x' I4 h8 P0 w+ Q2 Dprocedure SetCityCount(const Value: Integer);
. q1 e/ F1 J. C @, s; Pprocedure SetOldCityCount(const Value: Integer);
$ {; X8 j: j% n5 c" E' s/ Aprocedure SetTravelCount(const Value: Integer); /////////////2 G( [0 f: ?7 o9 L+ A
procedure SetDepotCount(const Value: Integer); /////////////0 M# }; v3 H$ P5 Q$ {% Y# O
procedure SetXmax(const Value: TFloat);8 K) b0 F8 z9 x0 A0 `; O
procedure SetXmin(const Value: TFloat);
2 H& d4 J* c$ Z4 Yprocedure SetYmax(const Value: TFloat);/ l n5 F5 s1 G; i- l
procedure SetYmin(const Value: TFloat);
9 H' z/ s1 E% x8 x! Ufunction TimeCostBetween(C1, C2: Integer): TFloat;
' s7 [1 M, h$ t; }3 Bfunction GetTimeConstraint(Individual: IIndividual): TInt;
2 |( ` Z: K6 y D5 Afunction DateSpanToMin(d1, d2: TDateTime): integer;
" B; Z1 S. X; P+ m9 s4 {function GetVehicleInfo(routeInt: Tint): integer;
0 D/ a# U9 b; q1 x) xprocedure writeTimeArray;
) P$ y0 d( e/ ]/ aprocedure writeCostArray;
& k# Q+ U8 F8 V" ~% B: h6 Z! T# M- Mpublic0 n$ x2 Q1 ~4 v2 B; t% f m
{ The constructor }# E" U, }- I# V+ T v- n: ~! z
constructor Create;6 H( M1 c8 q8 g% r) S+ K s G
{ The destructor }/ f! l4 x$ |: d+ v Y8 S% P
destructor Destroy; override;* N9 \- R* Q, T J* V( ~ e
{ Get the distance between two cities }
/ z& [2 D8 o& h5 r1 lfunction DistanceBetween(C1, C2 : Integer) : TFloat; " i- b, s: S' _9 t
{ Get the cost between two cities }2 g3 V: o+ R+ M" ]7 O* J9 h
function CostBetween(C1, C2: Integer): TFloat;</P>
5 ~5 `$ y0 B+ e+ E1 w4 P+ S1 d<P>function GetWeightConstraint( Individual: IIndividual): TInt;</P>2 K' Q( I% S: W& n6 ?" K8 S
<P>function GetBackConstraint( Individual: IIndividual): TInt;
% y% I5 u1 F. }8 c{ Places the cities at random points }
* t1 G: c8 j" Y! Y, L$ yprocedure RandomCities;
$ o! p! @! @! g0 F3 J' l{ Area limits }
' X, w- h, H- x: U( v1 [property Xmin: TFloat read GetXmin write SetXmin;
" E" L9 P8 b. J$ f5 D( O& w4 Lproperty Xmax: TFloat read GetXmax write SetXmax;
+ P+ ?2 ^7 z* l1 Gproperty Ymin: TFloat read GetYmin write SetYmin;
' M' c+ y/ I4 |. D0 V& h1 yproperty Ymax: TFloat read GetYmax write SetYmax;
3 ]& D8 }6 d9 g% P{ Properties... }
8 }& Q; q7 z. \5 w; p9 Q9 ]property CityCount : Integer read GetCityCount write SetCityCount;) {5 I: Z! R, |' e
property OldCityCount : Integer read GetOldCityCount write SetOldCityCount;
- `: D8 |; @* t3 Z6 Uproperty TravelCount : Integer read GetTravelCount write SetTravelCount; ///////////
1 T# Q7 n9 V1 u6 T Nproperty DepotCount : Integer read GetDepotCount write SetDepotCount; ///////////- f7 o8 z0 _9 _; ~- Q/ @4 m
{ Access to the cities array }
. }' O3 F o/ G) y6 v, ?! O; w% K" bproperty Cities[I : Integer] : TPoint2D read GetCity;, V& v! m) r ]3 Z, W. C- A
property NoVehicles[I : Integer] : TInt read GetNoVehicle; ///////////////! L5 D! n2 ]% W; b1 K
end;</P>5 e# I. s0 R2 r! \" _2 X9 Q6 S
<P>implementation</P>* f/ \! e& r& A3 P
<P>uses
8 n( @: c/ _) f/ [/ kMath;</P>9 ^' m+ B& A2 R9 X ?4 j1 v: Z! Q
<P>{ TIndividual }</P>5 q' l# ~$ M6 Q
<P>function TIndividual.GetFitness: TFloat;
2 f6 S( W Q5 tbegin
7 D- g J) e( P- S$ M9 Qresult := fFitness;& g7 E1 }0 {) |5 }) s% p; k
end;</P>! l9 l# I3 J: X+ ]
<P>function TIndividual.GetWeConstrain: integer;; B F% K5 s7 U+ ^& p7 U% z
begin$ W3 Z* E5 H7 X8 Y5 o6 P
result := fWeConstrain;
+ C# k6 H* Q; B2 m# G/ xend;</P>; x: G. R# L8 K
<P>function TIndividual.GetBackConstrain: integer;
4 g, q% C! |6 W1 c- [3 Vbegin; u+ \8 p7 y' m# s! X9 _0 W2 f. L" s
result := fBackConstrain;) j' q. { r1 k+ k) D% ~
end;</P>
* j: E& e: Y+ W. v( e<P>function TIndividual.GetTimeConstrain: integer;
" `& X/ F, ~$ Q! z- w8 ibegin
, p; {2 \# f3 @. v' e. x- Presult := fTimeConstrain;+ a2 J X& w9 t3 j2 I; ?$ E
end;</P>. \7 a$ ~0 M* H4 i$ Z- ^
<P>procedure TIndividual.SetBackConstrain(const Value: integer);
5 L2 ]6 m7 ^) m- G+ v2 J! xbegin
1 Q6 G F9 j9 \$ O/ DfBackConstrain := Value;
/ O2 A6 m. }. k* _ fend;</P>2 E5 H5 N1 e8 W
<P>procedure TIndividual.SetFitness(const Value: TFloat);
" @; Z6 D) S, C- a) F& I) hbegin
" w2 y& r% Y5 Z- v1 L- ~1 C8 \$ wfFitness := Value;
9 ?7 r1 V% G% w6 r" ?5 P3 x* e' \9 X. Iend;</P>
8 {- ]5 T. i5 Q0 Y<P>procedure TIndividual.SetWeConstrain(const Value: integer);/ U8 {* W9 y6 R ]& r
begin8 C: W. v; f6 Y2 V( B# Q
fWeConstrain := Value;
7 K9 m+ S9 q9 {) hend;</P>
' {9 [! Q4 ~2 N# I0 `' [% r; }<P>procedure TIndividual.SetTimeConstrain(const Value: integer);* \: h/ |! y! q- M$ m
begin
2 W0 \+ [2 w8 m- [8 P) SfTimeConstrain := Value;
3 v! E0 A4 X% U yend;</P>
/ C R7 q% F4 h! z' L<P>{ TTSPIndividual }</P>4 A6 `2 K. w$ \9 L
<P>constructor TTSPIndividual.Create(Size: TInt);
! @) r+ P4 s% u$ E4 F1 ^begin
: w% B' g2 _- I% x1 [: UInherited Create;
( r. t6 R( h6 f9 ?9 _8 z! kSetLength(fRouteArray, Size);
6 O" Y% g* w' |+ z( D: u// fSteps := Size; l0 Q* ?( _/ d9 s: ^
end;</P>
, s' _; f, @' \' z# W) [9 x<P>destructor TTSPIndividual.Destroy;
+ _7 C- j7 R6 p5 |. y7 l8 dbegin$ H+ R" s" o/ Q, T: a
SetLength(fRouteArray, 0);
5 O- i* {+ d( i; `4 g7 p! b5 Qinherited;
9 ~1 b- C& o2 A: Kend;</P>
" R$ l0 U' G0 Z% @<P>function TTSPIndividual.GetRouteArray(I: Integer): Integer;
) J$ A: ^; A! T5 H. M) [, lbegin
& m, ~2 S: N7 P: d3 m0 W# ~ `result := fRouteArray[I];
3 A& h2 u6 n t! T% }, [end;</P>8 I7 V* P# `5 {# X4 t1 j
<P>function TTSPIndividual.GetSteps: Integer;
% ]( a1 s" g/ K5 Q$ o0 H2 g: Rbegin; ]* `3 }# Q0 z/ B
result := Length(fRouteArray);
' p* k7 S" Z6 N1 xend;</P>
: ~( b( m/ v! |5 L0 d<P>procedure TTSPIndividual.SetSteps(const Value: Integer);
+ T- S! `& d7 e2 Z. Rbegin) [1 U6 Z! j4 c# V" M
SetLength(fRouteArray, Value); [) ]8 d3 r4 |
end;</P>
' t. ?* L) m& x/ o6 ^$ K<P>procedure TTSPIndividual.SetRouteArray(I: Integer; const Value: Integer);
$ g" b y# [& wbegin5 E* x3 W3 n; r6 _' I C/ L
fRouteArray[I] := Value;9 Z* X1 l$ j( z
end;</P>
p* w; t# h4 J# ]7 n. T9 z/ O<P>function TTSPIndividual.GetWeConstrain: integer;/ B3 F4 q& m# @) H# y0 y9 O& e
begin" G& X+ I: w8 p; ^. @7 |: W
result := fWeConstrain;
( `. j& _8 ]) C/ M d5 c1 fend;</P>
# p; H5 U- a; \% \1 m$ t1 j! k<P>function TTSPIndividual.GetBackConstrain: integer;
; X* J, i! T u8 d; x. I0 `' e4 Q, Wbegin
! H" I a4 k E1 }8 M. Tresult := fBackConstrain;
+ n2 _& J& Y/ I2 [6 ?( ^9 `end;</P>, o! R/ }3 I* ^2 B) b
<P>function TTSPIndividual.GetTimeConstrain: integer;
6 {6 v3 }3 ?. Tbegin( f3 j. j) D. z/ ?# o
result := fTimeConstrain;% [0 ] s! o5 Y Q' D
end;</P>: Z! D1 E% z) [! M/ D8 I
<P>procedure TTSPIndividual.SetWeConstrain(const Value: integer);
R# ]8 N. S1 C9 N4 l) _begin
. x5 q0 F! _. P% nfWeConstrain := Value;
\5 A. r! a5 \end;</P>
, K! Y2 G* ^/ S# ~# b# k) E<P>procedure TTSPIndividual.SetBackConstrain(const Value: integer);# F! s) S E% p5 Q
begin- W7 N( q8 Y9 e) n1 K% Z) C
fBackConstrain := Value;7 N) p0 K& h! L. g/ ^* v
end;</P>
$ N g2 }7 p; D2 M. b$ P }<P>procedure TTSPIndividual.SetTimeConstrain(const Value: integer);
( l" F7 M) l7 Obegin
. d2 i/ j+ Z. `3 g1 WfTimeConstrain := Value;0 V" W; y, @ a# B$ Z+ d
end;</P>
' D) t/ q5 F# p7 p F1 T" o& Y<P>{ TTSPCreator }</P>2 R) p% n/ I2 n5 P# d# C. @) @, e
<P>function TTSPCreator.CreateIndividual: IIndividual;. B. c& ?+ q! c5 w: z' s6 u# t& ?
var
3 l. M* M% ?6 Z# u7 G- C! DNew: ITSPIndividual;0 z& n! j+ {7 f1 H$ o
i, j, Top, Temp : Integer;( ~2 W& j" m7 }9 `/ V
//trav:integer;
: I" ?& U+ I3 E' ]begin2 n% [8 _# x4 w: \# x5 D! R
// Get the number of cities& }6 |# q. q h" g4 T
Top := fController.CityCount;
9 z' Y+ M( u2 c @: m1 \4 D// Create the new individual) `; A L6 s) _/ u% o! d# J8 W
New := TTSPIndividual.Create(Top);, I2 n0 _: X, F/ k; a5 s/ t( R
// Initialise it with a sequential route! q, R4 H1 E/ C# p3 n9 L
for i := 0 to Top - 1 do8 U- P% g% t$ Q9 n4 v4 ]
New.RouteArray := i;+ q u& v( Y- |2 E
// Shuffle the route
: W3 s, u; O' K) C, H9 r* Jfor i := Top - 1 downto 1 do
) F l( G4 O6 e8 abegin2 F3 x( Y# f" Z4 M# e" R( e
j := Random(i); s% r$ l( H: M7 ^9 P6 q6 r5 b% @
Temp := New.RouteArray[j];
+ S& ^) t$ C# n# ^$ uNew.RouteArray[j] := New.RouteArray;3 o) I1 M5 G/ y3 `
New.RouteArray := Temp;7 t2 S8 v# y1 j. I9 o
end;6 L q+ ~0 q2 j |. p' `* u3 [( ^
result := New;
8 q" y+ ~" ], lend;</P>
5 ~" u6 F, f3 L. Z+ ^5 o$ @<P>function TTSPCreator.CreateFeasibleIndividual: IIndividual;
( Z5 B! e5 U0 L6 p8 y- A( Bvar* J" ?, ~5 @+ g3 v) {9 ]
New: ITSPIndividual;( _( @( N; V0 t
i, j, Top, Temp : Tint;$ W, U0 X7 Y; t( @
Msg:TMsg;
; ]0 Z# W! E- W% Y. F8 T( k. obegin
1 z0 j* u6 p7 }// Get the number of cities
- g4 C- B7 r2 N: I' B4 B& B' n, g) {Top := fController.CityCount;
+ a. R6 M- G' m. o) ~// Create the new individual
: e; P+ g4 I: n& s% x+ G* `New := TTSPIndividual.Create(Top);' D: H: }( H1 ]! S- O
// Initialise it with a sequential route
; `" {" O. |$ t/ U; Grepeat% S# [) y @' i. d' ]) h8 i
begin/////////////////////////////////// A; Z( U4 Z: ?1 h$ }/ @
for i := 0 to Top - 1 do
0 E2 A9 N2 b+ J4 ]New.RouteArray := i;% n b" d0 C9 s( j' V# n9 S
// Shuffle the route
' ]' \4 D+ n; [! F' N* [for i := Top - 1 downto 1 do1 C2 ]' F5 L: K v+ E
begin7 p' k; q# P- y1 _& i* A
j := Random(i);
: K X: m7 u- o( b8 T: aTemp := New.RouteArray[j];
$ T5 d) w8 F/ e8 k; g! T0 [New.RouteArray[j] := New.RouteArray;
, `9 q- W$ D. O# [+ B% v" `New.RouteArray := Temp;- V+ [* E0 {, ^
end;! S3 h- m* b) d- O5 E
//process message sequence//////////. n/ E, f) g" A: j* J1 C6 ^
while PeekMessage(Msg,0,0,0,1) do/// x1 `" m1 a: d' ~
begin ///
, O7 K1 I" J5 k! G# hif Msg.Message<>18 then ///
) M* d6 J+ H2 o* z R2 Cbegin ///8 x2 [+ N( F* [& t9 K: V0 D
TranslateMessage(Msg); ///
5 F0 N2 N! j+ e7 VDispatchMessage(Msg); ///
; i/ @8 t+ M3 i! [1 f6 }8 j5 |end; ///
. ~. u# u# J9 @1 tend; ///; w+ w; O9 S6 _* q. V
////////////////////////////////////
) z8 K( Y' \. F4 U' ~7 U5 |5 hend/ }+ o0 V. `3 z% z$ q
until (fController.GetWeightConstraint(New)=0)and(fController.GetBackConstraint(New)=0);</P>
2 ~' w! N# D( D& B<P>result := New;9 k/ A, b& P! J) b7 F. F
end;</P>
+ b0 K5 _$ h- _+ u: y) l) o" e<P>function TTSPCreator.GetController: ITSPController;
8 _+ B& k1 \: l7 Abegin" i- N2 m5 B9 ?
result := fController;4 C/ T+ i) R( P x* ^, r0 e1 F( H2 E
end;</P># i Q) K9 V+ k+ W# Q7 _3 A$ D. W8 s% `
<P>procedure TTSPCreator.SetController(const Value: ITSPController);9 g+ A8 i% |* B$ L
begin
2 e2 ?6 S/ b) y; T- O2 m; Y6 S3 EfController := Value;$ n/ U( `' Q1 o- Y
end;</P>
: f. V; s' D3 x+ _9 l" m6 v' d% @<P>{ TKillerPercentage }</P>
* W4 N! O" j. x( y* J0 W& D<P>function TKillerPercentage.GetPercentage: TFloat;
: O: t$ U3 o. ], gbegin4 d3 ]6 e5 s* N
result := fPer;! Z% n2 X- Z: y! O
end;</P>
0 r' @$ |7 E) O0 s1 P! j<P>function TKillerPercentage.Kill(Pop: IPopulation): Integer;
6 ~9 o0 o+ p6 C' [0 D3 }8 |. \8 wvar; Y0 h g2 E0 X5 M& R% P9 E: D" O
KillCount, i : Integer;4 I" v% G9 _% J" c) L' u2 X' W2 Z
begin
" R" u/ E1 l$ J// Work out the number we have to kill
# n5 x8 O6 X0 H7 {- ]) n" {3 K" @KillCount := Floor(Pop.Count * (fPer / 100));
; F) t& _2 z' ~5 s// Delete the worst individuals - assuming the population is sorted! l7 ^8 j! L: t) ^4 @6 n
for i := 1 to KillCount do
; L' w$ u, r) e* a* k# ?5 ~9 |6 F6 XPop.Delete(Pop.Count - 1);" q6 F+ M( i8 f0 f
// Return the number killed+ ?2 K0 W! _1 |, I/ m* F# W
Result := KillCount;4 U" K; P! E1 p8 h8 Z
end;</P>
0 I4 q7 R" j9 K4 ~; F2 c* {. N+ S/ m<P>procedure TKillerPercentage.SetPercentage(const Value: TFloat);
0 ]4 m/ i$ U2 k% Q$ n) Xbegin0 m$ z! L* X) g8 ]; `# s
fPer := Value;
9 K! x0 k; w$ c% Z- ^2 E, o% Q' uend;</P>. ~ ]# X0 G- y+ t
<P>{ TParentSelectorTournament }</P>
9 P7 c& V2 w g2 _<P>function TParentSelectorTournament.SelectParent( o! O2 a4 W- T
Population: IPopulation): IIndividual;
9 U; t/ q0 {( [8 h* w" |var( h/ l) u9 ?$ J& f+ `7 C4 X
i1, i2 : Integer;: k7 s m; x- f+ W6 K* i
begin. s6 z# Q+ z( C, s* i
// Select a random individual4 b3 ?' O7 a Z/ r2 k' k
i1 := Random(Population.Count);
! c. p, w" ]' ^4 W. C+ R// Select a *different* random individual! s* A% y! ^9 j; Q* p6 Z
repeat! O& ~8 s0 D5 \: h I
i2 := Random(Population.Count);: D) q& j2 j. Q+ V f' G
until i1 <> i2;. g. R) W( V1 i# _& S% G
// Hold the tournament and return the fittest of the two
! H! f1 m9 V( c Nif Population.FitnessOf(i1) < Population.FitnessOf(i2) then
+ m9 x. U: Y( r2 z. GResult := Population[i1]' L/ v E7 S: N- y3 Q; w: ^" j5 f
else; E6 r0 G" c; X) Q" \1 }9 Y
Result := Population[i2];
5 y7 A' y% z/ K) g0 c# E, i; y7 N3 r: Aend;</P>
. l* x, v4 }) h7 G7 I<P>{ TTSPBreederCrossover }</P>
1 S! k1 C3 B/ y* z* K" m5 b<P>function TTSPBreederCrossover.BreedOffspring(PSelector: IParentSelector;/ W( m* B) ~3 X% P9 w8 C
Pop: IPopulation): IIndividual;
7 N2 H5 {1 O1 o" avar
w N9 f. D# R" gChild, Mom, Dad, Parent1, Parent2 : ITSPIndividual;
2 W5 n& K0 q* j- i1 {i, j, p : Integer;</P>
L2 M* _3 F$ k<P>function AlreadyAssigned(City, x : Integer) : Boolean;
$ ~" w q q v. fvar
8 K7 {# h& {. z% G. \y : Integer;
( ~& k0 Q; h, O8 ]3 Y3 N( i6 EFound : Boolean;, Z- h+ V5 k7 T# ^7 {$ C2 `
begin
( `- V2 p& t9 w' i0 jFound := False; % O, i3 ~7 g6 k! }: t' X& P
for y := 0 to x - 1 do) {5 M: q( @ s+ ]
begin
6 ]+ _( r" F, q% Q E Vif Child.RouteArray[y] = City then
/ f7 R9 J# M+ I4 u: u6 mbegin + P0 ^7 \2 t: O2 h( d9 ?
Found := True;
. `$ G! i' g5 z7 l2 _4 X5 PBreak; ' a4 V& F& y" a# \; ]
end;
. g7 B* i0 v1 {7 @3 n! ^+ P @0 Xend;
& k: j* h; V/ e1 ZResult := Found; + I6 t- w+ W5 u# D) H5 J
end;</P>" A, S+ ~7 }" O+ A
<P>begin
V" W$ S/ Q& e4 H; Z$ E9 W: r// Select a some parents...
5 N& t7 F3 D: J7 e9 A7 o$ v" pMom := PSelector.SelectParent(Pop) as ITSPIndividual;
. L% O. @9 ], t6 v6 P! J: }Dad := PSelector.SelectParent(Pop) as ITSPIndividual;0 a$ G+ @: N; h8 B( a, u
// Create a child; \# K, M4 M1 p: ?( a. x$ X/ H9 q
Child := TTSPIndividual.Create(Mom.Steps);
" c8 d) O& y2 b8 M% }// Copy the route from parents to child
% t, V& ]; G" Y8 {7 S& mfor i := 0 to Child.Steps - 1 do - T; | [8 l6 z* ~/ D
begin
0 k d1 { q/ c/ S1 D, t7 P// Choose a parent at random . s8 Q) P& D+ B- V* ~4 I
p := Random(2);
. R- K$ P; E7 x, wif p = 0 then ' }1 S1 d; \5 g7 ~" T2 l' Q
begin
6 w' ] m, ~# c, L& zParent1 := Mom;! ]$ R5 n( R' O) H5 Y; ]1 _# v1 X" G
Parent2 := Dad;
/ W+ E# d; ~4 R" T* pend else
) ?3 O" _2 |* V' g3 v3 t0 @9 N( }begin
1 U: r K3 m( f/ u0 h0 l/ yParent1 := Dad; 9 q% t9 O2 c8 Z( n/ I' F* M
Parent2 := Mom;
& Q( |: z& M: S) h9 zend;
, J7 R" Y% a+ Pif not AlreadyAssigned(Parent1.RouteArray, i) then 1 X F/ P" e& |$ V0 e
begin | J& J/ R9 K2 r$ o* v0 E [
// Use city from Parent 1 unless used already
7 a0 z [1 ^$ k% @& m3 g: oChild.RouteArray := Parent1.RouteArray;
, w* a5 h9 q; mend else # k; Q4 N- Q- o) n& @
if not AlreadyAssigned(Parent2.RouteArray, i) then
7 B4 r. u* D$ {; Q, Q- obegin ! l+ f$ H# i4 ]! {9 K& x) w- l4 u
// Otherwise use city from Parent 2 unless used already
) h# h6 W" J8 L3 f- \2 N( yChild.RouteArray := Parent2.RouteArray;
8 c) Q1 y* h N# M8 g4 t- Nend else . g2 _' s& p- N1 |+ V' ?
begin
1 k# l: h4 t) ~+ Y V4 U, R// If both assigned already then use a random city
, H& d& E3 X3 b. i2 W, c, W4 W2 nrepeat
4 e6 h# {/ U% R6 |j := Random(Child.Steps);
" q) l; i9 h Kuntil not AlreadyAssigned(j, i); + ^7 x4 i# a+ s, T* H, o8 y
Child.RouteArray := j; : j n' Z7 O- X* I8 I
end;
G- |! @& j7 d- Rend; 8 f F# F6 } J' g* b
// Return the child
! |: G9 z" z- Z% `. a# d, E3 g9 c0 v8 fResult := Child;# ?. U8 v/ \7 {* y8 `
end;</P> C9 L% i* U$ P+ x4 J7 S
<P>{ TTSPMutator }</P>
7 Y6 ^( O2 W x. ~& Z% u, m<P>function TTSPMutator.GetInv: TFloat;4 e- ?2 g/ o) ]' I$ s. v
begin3 Z. x9 f" b$ {/ x# ]2 ]8 o0 v
result := fInv;
: q- R8 c* K3 f# g4 Y* D/ Tend;</P>
f8 Z8 W4 l' v' {<P>function TTSPMutator.GetTrans: TFloat;
6 g# |5 i" b2 T8 ibegin
& T% c0 d8 l7 W# ]$ presult := fTrans;
) C" y* n" P ?end;</P>3 F6 W3 D7 Z Z7 b
<P>procedure TTSPMutator.Mutate(Individual: IIndividual);, Y2 g$ V3 G+ K3 r5 o) @
var2 J' J; L: P/ l
P: Double;
$ t6 S0 k( J3 i6 R9 s' M& H# zi, j, t : Integer; Start, Finish : Integer;& N/ s% b( \: T5 q9 w
begin # H( w7 | G1 V3 @! W" p: _
with Individual as ITSPIndividual do
' z$ K, l7 |9 |5 ybegin
; v0 J( _& Q% [* p1 d// Should we do an inversion?
% H5 j) U8 I0 k" s/ ]P := Random * 100;
0 ^0 c- e/ }/ @, ]( ]1 Cif P < FTrans then . t: Q# E& `$ a4 W2 H
begin ; p1 @; K0 o" }& H
// Do an inversion (i.e. swap two cities at random)
. ]9 R. N) h9 }. z1 @- h/ t// Choose first city* g: R. d; C# x3 Q2 C- i, V
i := Random(Steps); ! z! W3 d# q2 V2 U+ Z" m2 U- e
// Choose a second city & B6 E% W0 B8 {. w
repeat ' ]; r1 \$ v8 {' e1 i
j := Random(Steps);
% r' [0 g3 c; M; ountil i <> j;
6 T+ [7 x z2 ]2 \$ c8 O9 `// Swap them over8 M2 g" w$ t& P# t
t := RouteArray;* u" h, k% \7 Y+ j( q3 N$ Z
RouteArray := RouteArray[j];
F; k; F* L7 T6 YRouteArray[j] := t;# v4 r* D# ]8 i3 |/ r
end;; i' Z8 x: J x+ t0 U X3 d. @
// Should we do a transposition?
& k& I2 v4 F! k2 K6 F' E6 R3 J1 M dP := Random * 100;& R' e3 g% Y* {! r
if P < FInv then
. E) {3 v8 I" r. z( cbegin
' a, }: W I! B( N// Do a transposition (i.e. reverse a sub-route)
& t4 {9 a/ o3 @0 J# |- ^// Choose random start and finish points. C) T$ G3 z" P# X0 E# b
Start := Random(Steps - 1);
- ^: Y2 N z) W$ E6 X( Y% [Finish := Start + Random(Steps - Start);5 o" i0 g2 q. d3 b7 ~4 N9 o
// Reverse the sub-route, {# ^, g# h6 w. g: U/ |% h
for i := 0 to Floor((Finish - Start) / 2) do/ W/ C6 @6 d* K+ y; [( l
begin
5 {# C1 G; d7 f- u. l9 _t := RouteArray[Start + i];. v* C0 x+ M" L# i4 }5 o
RouteArray[Start + i] := RouteArray[Finish - i]; J. e; H" S, G/ Q: T3 y6 ?
RouteArray[Finish - i] := t;
1 V/ P3 S! O' `) mend;
* J5 v* y( f+ b- o% T- Hend;! R8 n5 q4 J7 H( J( ]
end;
" p5 J9 M/ ^7 N E0 nend;</P>9 h; g2 x/ m7 |
<P>procedure TTSPMutator.SetInv(const Value: TFloat);
- B+ P' b' {( b3 N/ T* Pbegin3 V. y% \/ p1 Z6 H5 n( }2 m2 M
fInv := Value;6 g" o! I# _% k
end;</P>
% i% {2 j/ x Z+ o$ Z3 G/ x$ i<P>procedure TTSPMutator.SetTrans(const Value: TFloat);( \6 c# R& n7 t) y0 {+ H# d
begin
& C& h& X8 j" ?& \/ p3 p; gfTrans := Value;/ t6 J* L$ t; v4 P6 ^# y; A9 s+ W
end;</P>
% B1 r5 F8 K, ^( O" Y6 _4 K0 k<P>{ TTSPExaminer }</P>& N, H! V! A u
<P>function TTSPExaminer.GetController: ITSPController;+ M; ?% z2 _8 {
begin( w0 r- O2 |1 ]
result := fController;
! n% h" w# y6 K: A# bend;</P>
$ l, Z, S4 _ k M<P>function TTSPExaminer.GetFitness(Individual: IIndividual): TFloat;
9 c. ~! X( P) h, P. ^1 gvar1 C, u9 U0 O) x& |1 j( t: g3 d- A
i , weightConstraint, backConstraint : TInt;3 N. w# ?( D8 I5 u1 H; e9 v
Distance , penaltyW, penaltyB : TFloat;
4 c* t1 [ Z! Y) g, u$ ~9 a2 LIndi : ITSPIndividual;
5 s% I% G/ W9 W0 P' x# obegin
( r/ O8 n3 t c: z$ J% KIndi := Individual as ITSPIndividual;6 t" ]6 x8 q2 T6 O# \) M
Distance := 0;
+ o$ @: k- }, [3 upenaltyW:=FormGaPara.EditWeightConstrain.Value;3 k1 A( Z+ S) o* b* ~8 u$ e- N) X! H
penaltyB:=FormGaPara.EditBackConstrain.Value;
! R' K4 f# T7 Vfor i := 0 to Indi.Steps - 2 do
* D) l0 y0 A! S y: x0 Mbegin# u Q" D2 Q0 i7 {7 z$ M7 Y; W' V
Distance := Distance + fController.DistanceBetween(Indi.RouteArray, Indi.RouteArray[i + 1]);
6 d9 i, O2 K, k. Y5 |- R& G; q* t/ Vend;! H+ L- q) t. f& r+ H7 r
Distance := Distance + fController.DistanceBetween(Indi.RouteArray[Indi.Steps - 1], Indi.RouteArray[0]);
# M7 H' {5 Y1 @& u) _/ l3 r6 ~# V: [WeightConstraint:=fController.GetWeightConstraint(Indi);! q8 f6 g( a5 }* L+ V# v
backConstraint:=fController.GetBackConstraint(Indi);
$ _- }6 D/ z7 {% Q. yIndi.WeConstrain:=WeightConstraint;
. Y. W7 \5 k/ f0 u! d' _Indi.BackConstrain:=backConstraint;! p% @, z( [ ^7 t
Result := Distance+penaltyW*weightconstraint+penaltyB*backConstraint;* q% q) j2 m) I. k% G, @
end;</P>
" {& Q* B3 L; Y7 Q! T<P>procedure TTSPExaminer.SetController(const Value: ITSPController);# H' k' y& l+ z3 Q
begin
/ l3 e8 o: ^3 @6 j/ W& AfController := Value;5 m5 P% L1 A- z1 J4 ~8 E& _2 T
end;</P>
6 S/ s) D" m6 `$ R3 {8 T0 f( P2 D: |<P>{ TPopulation }</P>
1 `/ {" @, @; h* R. [% F( c1 G/ b8 p& r<P>constructor TPopulation.Create;' e5 E: S+ u& ^# C
begin/ T ~8 @) K8 R% {' Q
inherited;1 v' [0 D: U, j2 Q6 P
fPop := TInterfaceList.Create;
9 z- @8 d( D) r( Z9 Wend;</P>
: U& B9 C3 {2 v<P>destructor TPopulation.Destroy;
1 t* [" l% ?) j$ nbegin) `, G4 `& X# b5 _" f
fPop.Free;3 v& U- @# L) a* p3 f! R* f
inherited;
, R$ {+ u3 k* }5 ^4 n# gend;</P>: m/ w z, x1 K7 E/ C6 y
<P>procedure TPopulation.Add(New: IIndividual);8 ~2 v. i B% a { t: n
begin [* @( L6 K$ V5 ~! q8 ^3 ?+ s- q/ H
fPop.Add(New);! d6 W3 a8 `2 p" m) l0 {; J) d
end;</P>
7 E! g5 t4 E) ^* t, }<P>procedure TPopulation.Clear;. H8 L; O9 Y8 Q6 P
begin8 S# N' N9 @1 o/ q& z; b2 F
fPop.Clear;
/ O Y6 }) M5 g: W; Mend;</P>' k, @0 y; z; [; K6 G
<P>function TPopulation.CompareIndividuals(I1, I2: IIndividual): Integer;) ~) N8 E8 V& M+ l
var
/ K8 {5 m, l' vA, B, D : TFloat;
% `/ [% r t' r2 X1 |begin6 M3 z- e, V0 q9 _; W
// Get the difference between the two individuals (real number)' T/ ^0 R/ z7 n! ~
A := I1.Fitness;
. z) F9 ~' k e2 x, g, Z9 e. Q3 w1 RB := I2.Fitness;</P>2 O5 @- G, [9 v3 n
<P>D := A - B;</P>2 l% c2 K/ P9 z
<P>// Quickest way to convert that to an integer is...1 Y6 E. B e! S) O5 H
if D > 0 then
2 I4 e1 `( p+ @1 v) H, zResult := 1
* y4 h1 \6 m" e" ]) ?else if D < 0 then
" v# i' k( C7 p4 p' y0 p6 m; RResult := -1" ]' g& `8 d* V, |5 x
else
5 S- Q) y8 @+ qResult := 0;
% D& u1 ?1 ^ J# n7 P" hend;</P>" f3 E4 | P6 C n
<P>procedure TPopulation.Delete(I: Integer);
+ r& @( u" S1 K. B8 L1 r) | h fbegin# j* {- L& G/ X) s- G+ A! Q$ l
fPop.Delete(I);
9 T) k' ?9 T9 nend;</P>, J+ L! P( L! V( r
<P>function TPopulation.FitnessOf(I: Integer): TFloat;
! E( l+ {) ]" H- P6 Abegin. B1 H9 }$ |- }2 \; Q2 f
result := Pop[I].Fitness;3 C9 u9 @, d% k. b* i2 ~; ]
end;</P>
- ?* m& u" F/ h5 u4 j K) N<P>procedure TPopulation.Change; J8 O- j2 p, F; _
begin3 Y9 D& M/ f9 D) ^6 @5 e
if Assigned(fOnChange) then5 c% ^& x! Q$ o3 M/ C( Q, m
FOnChange(Self);6 a( R: I+ [5 n8 ], D6 [" [
end;</P>
& \) Q, l6 v6 A) k3 A1 v<P>procedure TPopulation.Generation;
! S! a2 G. f4 jvar6 A; c1 j& }/ i
Replace, i : Integer;
' x) W7 E* F$ T7 P3 N3 KNew : IIndividual;0 B, W% T! B9 Z4 }7 J
begin
: M1 _6 L; M5 {6 ^9 B: M1 f" P// Kill some of the population* B! m2 y9 N3 G% c1 S
Replace := fKiller.Kill(Self);</P>
* ^( U0 {/ U. G" ]) S; C! {<P>for i := 1 to Replace do
+ N+ d8 ]2 y: Nbegin
: {! a1 @+ @0 G9 Q// Breed a new individual
+ J+ h/ [# C' U& @New := fBreeder.BreedOffspring(fParentSelector, Self);
5 N/ h$ h0 \. ~7 ]. u// Perform some mutation on the individual a$ a0 m3 |! u7 u: I
FMutator.Mutate(New);
, _* Z8 Y7 ?# D+ M L9 X// Get the fitness of the new individual
/ y* Y) y9 B M* B, W+ cNew.Fitness := fExaminer.GetFitness(New);0 z0 k9 W" K$ W( w
// Add it to the population) f u. \& d& y/ z) C
Add(New);* X7 ^; K4 o, S/ |
end;
. j6 f, @ {4 N+ P, G9 J' v// Sort the population into fitness order where first <==> best
5 \3 D" W$ ~* p9 S- ^$ G$ u$ CSortPopulation;</P>
! R# h# M8 q3 Z$ D4 X" D% Q: |) v<P>Change;5 D+ `3 h }" R
end;</P>
5 Q9 F5 m$ g# ~2 Y- z; [<P>function TPopulation.GetBreeder: IBreeder;. X% a: O! h& c' i& W! z
begin
4 l( K4 w5 E$ w& w2 h7 O2 K" oresult := fBreeder;# q' M, r: X; W5 d' T4 | w8 B
end;</P>; ^5 U, J1 k! K; E
<P>function TPopulation.GetCount: Integer;7 ~- q' J% I% q3 r" c
begin# h# L; x+ G- u8 w6 \' b
result := fPop.Count;" }- |8 n" G. i3 U# i
end;</P>6 F$ X2 \+ \0 \9 l3 Z$ F y" J, @
<P>function TPopulation.GetCreator: ICreator;
/ K8 O$ s& [( g, m: Mbegin
9 M- e+ e. C8 s+ w7 T P5 Aresult := fCreator;
' U9 o; A2 m2 W- J6 Y; n& Bend;</P>
0 S) S; i* |+ k# t0 u<P>function TPopulation.GetExaminer: IExaminer;
8 J( j7 d7 C- ]' U0 r3 o# ], s- _begin5 C/ V; B7 Y* t! A6 P$ e; C
result := fExaminer;
5 f4 E% A' I0 ]1 ]end;</P>+ `7 L; r! Z9 U+ C
<P>function TPopulation.GetIndividual(I: Integer): IIndividual;
: z3 h, S4 T" e* t' m3 Tbegin
& a; R7 f% b" d% Uresult := (fPop[I] as IIndividual);4 K8 v8 u" E& \2 k5 D4 Q. P
end;</P>
6 K. s1 A$ u8 E0 X<P>function TPopulation.GetKiller: IKiller;
/ N6 U* I8 c. _6 n2 Ybegin
; i% v4 t2 _* Kresult := fKiller;6 `- O; ~& P' m4 \/ f
end;</P>5 t1 N6 w; b5 q" O
<P>function TPopulation.GetMutator: IMutator;& O# s# O! t5 _- m- M* D
begin9 V/ l$ W$ X0 m$ E
result := fMutator;& s& |" d4 C+ X, u
end;</P>
' L1 v$ b+ t- f) N. {<P>function TPopulation.GetOnChange: TNotifyEvent;
' B" E; R( X1 \, _" F v3 C0 t+ \begin
4 `+ S1 q+ r. N( j/ ~8 {7 S c1 I$ Cresult := fOnChange;
# e X. e" Q1 O. A" e' yend;</P>
' b9 Y3 r& F7 T y8 Y U<P>function TPopulation.GetParentSelector: IParentSelector;
" M1 w( I6 ?, Q% |9 fbegin
. R% ]8 W; R9 V9 ~result := fParentSelector;$ N" H3 ^1 c. J4 N" w
end;</P>
* [5 ~6 [( M$ k, y% \5 V8 v<P>procedure TPopulation.Initialise(Size: Integer);: P2 k; @" a/ Z( I% |5 n9 n
var
" c8 C+ r6 M' \: ^0 T" x$ p! bi,feasibleCount: Integer;
' W) M3 W/ P5 x5 w; h+ q# G0 L- `New: IIndividual;1 K* {+ u& i3 i) [
begin8 U6 b3 w5 S4 C) Y
feasibleCount:=round(size*(FormGaPara.EditFeasible.Value)/100);9 l# w; p. j0 q2 U( F: L7 C
//feasibleCount:=1;, F2 \" D8 R: Z6 I! m* u2 W# w) T
// Clear out the old stuff( A! E+ ~% g; }5 E5 I* @
Clear;
) o" h1 e2 d* s8 b! T// Set the capacity first to save about 12 nanoseconds ;o); V+ E5 Y* B6 a; W: O
fPop.Capacity := Size;7 v& M* [- T1 q! B( ]
// Create the appropriate number of individuals
5 i9 ~ H% ^: N8 Afor i := 1 to feasibleCount do
2 T- F! v! A- @1 B1 ~0 w' v8 ?begin$ f6 }: z& D; X# [# _
// Create the individual
: r) ?6 G0 F0 bNew := fCreator.CreateFeasibleIndividual;0 {# q( B3 {: @+ [6 X
// Get the fitness of the new individual4 X, B$ N8 A: P6 t) x4 D9 O
New.Fitness := fExaminer.GetFitness(New);4 D7 @) H7 M/ T m
// Add to the population) p; l! I" x9 } s7 Q
Add(New);; J: u: |& d4 ~! g1 e5 O
end;5 T! W- ?$ y# W* B, s- A
for i := feasibleCount+1 to Size do' o% _) C* k/ [: o
begin
$ [. \2 j" \, G# u// Create the individual
8 I) M# J3 N0 U$ w, CNew := fCreator.CreateIndividual; ////////7 Y) m4 Y! o X
// Get the fitness of the new individual( o" @4 |4 L1 k0 w
New.Fitness := fExaminer.GetFitness(New);
* P$ g3 x" d$ u0 P( J# x0 }// Add to the population
6 m5 ^4 A4 Y9 h$ h- t4 X" s7 b" u1 HAdd(New);7 i* R) _. \' H* D* ^- q: s0 C
end;
, |! j9 L. d) [7 w. qSortPopulation;
& B0 m$ \! y* A$ `/ XChange;$ b1 W+ S- [* J- g& q& a
end;</P>/ k% b8 f! @6 f- x
<P>procedure TPopulation.SetBreeder(const Value: IBreeder);
0 z$ u5 E- _ Z* }) j" `begin
% ?6 H. `/ K. N7 w3 p L/ Z& q3 I+ ^fBreeder := Value;
2 F* H$ d g: C k. `, c- Dend;</P>
1 O! J; u' c) n8 l<P>procedure TPopulation.SetCreator(const Value: ICreator);% ?% Z2 m. M$ S4 ~' b
begin6 O' L8 R- q$ L. O
fCreator := Value;
6 s, |7 _3 L5 b3 Q7 r/ L0 U" ~: aend;</P>" f0 [2 p+ D) p7 p
<P>procedure TPopulation.SetExaminer(const Value: IExaminer);
/ B6 b4 ?7 i. Wbegin/ i4 ^0 r& | F6 V& v( V, l( j
fExaminer := Value;
- l' R! Z. D1 ^' a% R( [* x6 Xend;</P>5 j+ K/ D8 ^5 p+ X) T6 W* e
<P>procedure TPopulation.SetKiller(const Value: IKiller);
) b# P0 M+ O' }5 q; y$ Fbegin
$ I, c n- T/ Z) m! K. N" ?' tfKiller := Value;! s- ~2 m3 A2 g: }& h7 w0 e& k
end;</P>" S, x: H* m) g/ f( u
<P>procedure TPopulation.SetMutator(const Value: IMutator);
. y1 C5 i9 }( s' Fbegin% v' X/ s* j8 ?) `% T% T0 M+ e
fMutator := Value;1 {5 q1 B1 P, o3 U I: w7 f" f, y
end;</P>5 A1 n% S! M2 Q' p: \8 d
<P>procedure TPopulation.SetOnChange(const Value: TNotifyEvent);
, O1 P! [5 f0 }- F3 Cbegin
1 `6 f4 \/ _1 m V0 t$ U) jfOnChange := Value;
: L+ d) H6 R0 f" v1 B1 v3 E' [end;</P>
4 }! V3 N: `! a* U<P>procedure TPopulation.SetParentSelector(const Value: IParentSelector);1 U9 Y D0 N3 N& ~" g5 ?! \2 ]/ D/ [
begin
6 C5 _5 c( _2 qfParentSelector := Value;: }! u6 W" Q9 B; r2 k
end;</P>1 G0 r. |# }: L" @* b" k. {7 V- {
<P>procedure TPopulation.DanQuickSort(SortList: TInterfaceList; L, R: Integer;, h2 n+ F! {; I5 k6 [1 r
SCompare: TInterfaceCompare);
4 S# F \/ M" A# U4 i1 Ivar8 j0 X5 k+ h2 {2 }' [
I, J: Integer;
3 l# w, g/ ^! ]0 _P: IIndividual;* f8 l* q9 `; l( u( }
begin
* b( j6 I! x& B2 U) P3 R. brepeat: Z' a1 V1 x) X0 x7 e, v
I := L;! A" S0 J% f9 f) |2 ?# }0 ]( o
J := R;" H: j) W9 e; q" X$ M, J
P := SortList.Items[(L + R) div 2] as IIndividual;
% s" j6 f7 `: M& m Grepeat0 Y2 Q4 `9 \% S r
while SCompare(SortList.Items[I] as IIndividual, P) < 0 do
* E7 M- `. t! ?+ u" x0 UInc(I);0 n, i: e0 l6 f- J, o
while SCompare(SortList.Items[J] as IIndividual, P) > 0 do# Z3 h& {/ w* w; V" k
Dec(J);
1 r7 q- r6 F: m& S9 rif I <= J then3 Q# h( T2 [' y8 L3 J# [/ Z
begin* y' k( j3 R3 V" U! }) e; u
SortList.Exchange(I, J);
$ G' `- W: z( g0 O5 X6 sInc(I);$ w/ s, _; F. y! Q- E' N0 m
Dec(J);7 |* m2 c7 O Z( u
end;
6 ^* n4 t. N! _7 u! _2 h* [2 B8 nuntil I > J;
% \3 y$ A x/ I! L: E) L, @if L < J then0 e" ]7 U( Y) A( n: d, X1 B
DanQuickSort(SortList, L, J, SCompare);6 a m+ f3 K9 k$ B! ]( N1 r
L := I;6 b% }# D6 z: n
until I >= R;
9 a8 k9 s, v. y5 ~1 {end;</P>. T5 M+ k7 u0 o- h7 Y5 M2 ^# p
<P>procedure TPopulation.Sort(Compare: TInterfaceCompare);7 }2 |. f. p- \! V
begin
& w/ q S) W( K" h7 ?- p! w6 m) Xif Assigned(fPop) and (Count > 0) then
4 m; t, Q7 S; r" b$ KDanQuickSort(fPop, 0, Count - 1, Compare);+ e; w, e; l/ ~1 L
end;</P>( d6 n. s+ D% ~0 h8 p
<P>procedure TPopulation.SortPopulation;
1 I7 N) S5 R4 E: ~4 v% tbegin, Q6 V4 w# K# L
Sort(self.CompareIndividuals);
0 ]( \5 g+ W& o9 Gend;</P>2 P! L1 }! B B; u/ N
<P>{ TTSPController }</P>
2 L9 u' K& G( a# ^& c. }<P>constructor TTSPController.Create;
( |+ y# t9 {2 ~* f- tbegin
6 y5 E% u! t4 _4 Ginherited;
0 N4 z) }# f$ c# J/ ]+ a+ P. pend;</P># O& e/ m- B& c8 m
<P>destructor TTSPController.Destroy;
' m6 t6 L! E" K+ ]6 {+ wbegin& I% y) ?9 @% z9 B5 U+ P- w+ N6 n
SetLength(FCities, 0);7 q+ d3 ?# Q# j2 \7 ~
SetLength(FNoVehicles, 0);/ J$ N$ I; c- [, P$ |
SetLength(FVehicles, 0);" w, i9 R; N& e) k/ D! a4 s
inherited;( L& W* s$ R/ ~8 {, n, v1 N7 |
end;</P>
+ l# t8 U* e. z9 O8 c<P>{ Standard euclidian distance between two 2D vectors... }
* w* O: j" o6 e0 D7 w; ofunction TTSPController.DistanceBetween( C1, C2: Integer): TFloat;' T/ t E( M; \, v* C
var
0 |. _6 M4 J# [! Ftemp:TFloat;
4 j$ }3 r0 Z+ D) t& y9 R/ Qi,j,intTemp,intTemp2:TInt;
q% a8 z; j% m3 E& Sbegin8 U1 `8 j! s- e
intTemp:=0;0 J; }0 T n2 z: ]" V( }( ?
temp:=FormGaPara.EditWrongConstrain.Value;</P>1 q L& r1 P6 s5 g
<P>{if (Cities[C2].id>=1)and(Cities[C2].id<=fOldCityCount)and(Cities[C1].id<>0) then
7 L, X) y4 J8 [2 p3 ^begin
+ Q+ e+ s* l. kfCities[C2].serviceDepot:= fCities[C1].serviceDepot;5 L8 S- z- i+ V4 _+ j) Y9 f
end; //}
f' X' P/ I K$ l! I//8
% r/ E. G3 d8 O( ]% H5 @9 mif (Cities[C1].id>=1)and(Cities[C1].id<=fOldCityCount)and(Cities[C2].id>=1)and(Cities[C2].id<=fOldCityCount) then
1 S' R2 ~; @( R. R2 }. F( w! Ibegin3 g4 ]6 F. j& T
temp:=CostArray[C1,C2];
0 d' R9 l, z& [6 u/ i5 Wend;
2 l) v! i" B1 d" `# @0 f//1
% Y0 C& f( G$ b9 G2 N& Dif Cities[C1].id=0 then $ W' ?: t3 |1 E; S3 A; x' ~
begin
! m _; G- ?% n7 r: X6 pfor i:=0 to fDepotCount-1 do
1 F( g8 G6 j+ u5 z7 pbegin9 J, e) |& t1 Z4 }
intTemp:=intTemp+fNoVehicles;
/ Q! Q! G4 o$ p6 K- H% M- L# O \% ^if Cities[C2].id =fOldCityCount + intTemp +1 then
8 R& l# N$ r: |( N' _3 k% Itemp:=0;6 x. c* J; z/ d
end;
+ B3 w2 |* w4 d1 bintTemp:=0;
0 L( }4 ?0 t. x6 bend;
! F2 ?3 |8 s5 R7 T//2
1 i5 V; ~- O% o5 u! Vif Cities[C2].id=0 then : N2 b l2 f' @* f# A, Q
begin
3 L. W: b) e. Gfor i:=1 to fDepotCount do
( a9 j! x4 c+ M6 r5 O( ?% vbegin
! a, X% O% ~: h3 K' M/ Z7 r4 n2 BintTemp:=intTemp+fNoVehicles;
, {0 i; t D& i Wif Cities[C1].id =fOldCityCount + intTemp then" }: P8 f# J0 n
temp:=0;
# L4 P& J# K: e1 l3 ]1 Lend;$ m! f$ {6 m7 a: P8 g' v: p+ b5 e! U7 H
intTemp:=0;, f2 m7 q* }5 A0 X% ^( l X% C2 j
end;0 B" k* t a9 h! n0 D! x: y
//5
2 N* ]( Y% D* ?. I- }7 C. E: V1 Qfor i:=0 to fDepotCount-1 do
$ u1 `% k g9 w5 N' zbegin' H; ~; p4 C% j4 a% s2 Z
intTemp:=intTemp+fNoVehicles;
1 y% X& ~! W# e1 K1 i{ if (Cities[C1].id=fOldCityCount + intTemp +1)and(Cities[C2].id=Cities[C1].id+1) then
: O7 o4 m* k1 F" L0 J8 Z. {temp:=10; /////////////////////////// }+ }9 A/ Z1 p$ k. l$ I2 j
if (Cities[C1].id>=fOldCityCount + intTemp +1)and(Cities[C1].id<=fOldCityCount + intTemp+fNoVehicles[i+1])
4 K1 `8 {. m B- r. |( dand(Cities[C2].id>=fOldCityCount + intTemp +1)and(Cities[C2].id<=fOldCityCount + intTemp+fNoVehicles[i+1])
/ y9 S5 R6 b, t* e0 @then
9 l# l: _: G* h! R# _temp:=0;//}
% b& n; \& p7 w7 @3 [end;/ K8 O0 D) g6 P) x; x
intTemp:=0;
' {4 L- L" V3 x8 E5 z//7% S" A9 b) N5 {* {! b: n
if (Cities[C1].id=Cities[C2].id)and(Cities[C1].id > fOldCityCount) then
- ]# D( p5 ` `/ Bbegin% A- w9 y/ X2 n4 N2 p1 ]$ }
temp:=0;7 ?: w* U6 c2 A8 U" K5 a
end;7 K: w* E( g4 c% \$ G
//3) {0 y3 I: M$ U- e
if (Cities[C1].id > fOldCityCount)and(Cities[C2].id>=1)and(Cities[C2].id<=fOldCityCount) then
) \5 z: A- T$ Y; [& L2 Sbegin
$ I9 p6 Q) D& F//temp := Sqrt(sqr(Cities[C1].X - Cities[C2].X)+sqr(Cities[C1].Y - Cities[C2].Y));
% m" m3 O# g+ T- G! H6 ^temp:=CostArray[C1,C2];' E# \0 k8 W+ Z @ k
end;0 G: R" N- _ ^
//48 g' j6 T9 e6 a* k
if (Cities[C1].id<=fOldCityCount)and(Cities[C1].id>=1)and(Cities[C2].id > fOldCityCount) then
9 q% k5 j; {' H2 K" q) C! fbegin
0 g% X; l9 u% W% x//if Cities[C1].serviceDepot=Cities[C2].serviceDepot then //back to the start point* A" h; a+ \+ Z. x/ J& |
temp:=CostArray[C1,C2];! g) B2 L4 G) ?2 }# x% Q
end;/ N% a8 ?2 E" H$ |7 N: d+ y" _
//6
* r% h- R( B. k3 q! ^# v2 LintTemp:=0;
( S& @. t" w+ c2 ^* P4 Y- L4 Nfor i:=1 to fDepotCount do
/ ~8 _* v# |: O# |begin5 m! z. F0 V4 Y1 B- |) o. D$ d
intTemp:=intTemp+fNoVehicles;6 V; Q) r8 M7 J [/ G
if Cities[C1].id= fOldCityCount + intTemp then2 w2 Y2 g1 J+ d
begin
- [4 ]+ v# o$ yintTemp2:=0;
* q8 g7 ~, F" i7 F" B9 ufor j:=0 to fDepotCount-1 do( Y' ~1 f9 O: K
begin( Q0 |4 r7 X7 A
intTemp2:=intTemp2+fNoVehicles[j];
: U g+ U9 m* s) `0 Nif Cities[C2].id=fOldCityCount + intTemp2 +1 then+ G9 v4 {+ t* _) Q# p
if abs(Cities[C2].id-Cities[C1].id) <> fNoVehicles-1 then
5 `( c' q3 c# a& I! }temp:=0;
9 C2 c) [3 D s# p6 k* K% w$ [end; //}</P>
9 p4 H3 ] B& |- J# g/ f<P>end;
8 s: K3 |; k- eend;6 u* a1 ~% C2 x& @6 Y; A
intTemp:=0;
) [1 D! w9 i- L0 E. K! B# N& {% O. Nresult:=temp;
2 Z" d$ a0 [6 cend;</P>
+ E, Z7 s: w5 O V7 ^<P>function TTSPController.CostBetween(C1, C2: Integer): TFloat; //matrix cij- p7 M4 J5 `0 H
var% E6 C) G. J( e* Q: } y
distance:TFloat;. l6 |. p K: B4 [
begin
7 @- U+ \: T0 c: _distance := Sqrt(sqr(Cities[C1].X - Cities[C2].X)+ sqr(Cities[C1].Y - Cities[C2].Y));" E) v: q: n/ Y' ~; W0 B
//result:=distance+TimeCostBetween(C1,C2);- T2 V$ Q# W# l' D
result:=distance;
8 h/ R! @' H7 k) [/ [& d* s4 z/ x6 z1 pend;</P>
5 P5 ~" R* D9 H+ G2 P/ Q<P>function TTSPController.TimeCostBetween(C1, C2: Integer): TFloat;
6 Q$ T0 M# z8 R% F* Z2 A1 lvar: A1 d9 R2 r# j4 O( f' |
cost:TFloat;
# E/ Q- }4 M; d' D3 Fi,j,penaltyW,penaltyD:TFloat;! x+ M, n" J& s# k& M U3 j
startTime:TDateTime;3 i5 C/ j; A# |2 g- E) d, O) y
begin
, N8 p& ]: d5 u& JstartTime:=strToDateTime(FormGa.EditStartTime.Text);
$ y4 D& d# P4 G, XpenaltyW:=FormGaPara.EditWaitConstrain.Value;; _3 c& O4 d* k1 f5 m8 \
penaltyD:=FormGaPara.EditDelayConstrain.Value;! j+ e5 u( b& f; L' h5 f
if Cities[C2].id>fOldCityCount then
x6 s0 n3 w8 ZfCities[C2].totalTime:=0! z# ~8 r8 N8 M3 L8 y
else
2 T4 F* v' C5 b9 A+ nfCities[C2].totalTime:=Cities[C1].totalTime+Cities[C1].serviceTime+timeArray[C1,C2];</P>
6 s8 ~( j E+ w3 f" a<P>fCities[C2].waitTime:= max(0,DateSpanToMin(startTime,Cities[C2].early)-Cities[C2].totalTime);
3 n$ x: w; n8 S" P: v- u; NfCities[C2].delayTime:=max(0,Cities[C2].totalTime-DateSpanToMin(startTime,Cities[C2].late));</P> Y: a8 `! w8 ?/ A: b- d8 p O" t
<P>if Cities[C2].late<>0 then //consider time or not) v: g b' A7 b/ a
begin1 n+ G# [2 q: Q) i6 P; C
if Cities[C2].early<>0 then //window or deadline
+ u$ v8 }/ f% Z& t- Kcost:=penaltyW*fCities[C2].waitTime +penaltyD*fCities[C2].delayTime
- S3 c! ?4 M! k( L: r) `, v( |else! L9 s& y# I) \# t8 R% u* k- k
cost:=penaltyD*fCities[C2].delayTime;
0 g/ A9 J. N0 h! e0 R2 |9 Z4 \end5 X, ?2 }! t5 ]6 e! y/ B
else& u2 S a, L8 j' M& m, r4 i, z2 l
cost:=0;! M5 Z2 D; O% c& `; Z7 T
result:=cost;! V+ d( O* B" X1 A2 \1 D8 s
end;</P>! ?! H" A: B0 Z
<P>function TTSPController.DateSpanToMin(d1,d2:TDateTime):integer;
9 ~6 l, c, G" ^var. o& J, L) v7 S7 r" y
span:TDateTime;' A( E8 ?2 T5 O. u' I& p+ X
Year, Month, Day, Hour, Min, Sec, MSec: Word;
) M9 k+ C X% x5 _8 Vbegin
" C, R. z8 s% z* b9 P0 G) h0 \$ u4 Qspan:=abs(d2-d1);$ E% f, e) F% u' K) c
DecodeDate(span, Year, Month, Day);
. t" _1 d! X0 g' j' [3 g* d0 eDecodeTime(span, Hour, Min, Sec, MSec);
' v3 Q- P. u/ {8 _1 presult:=Min;* o" i2 w" U7 B) C
end;</P>* o$ e: V7 Z8 c2 v
<P>//return the position in the vehicles array
) I; } ]/ ~9 Q$ N9 v. Bfunction TTSPController.GetVehicleInfo( routeInt:Tint):integer;+ [$ |; |$ ~3 z$ G
begin/ Z) C, H. B$ X0 `: H/ h
result:=routeInt-fOldCityCount-1;0 c1 `: [2 I9 W- {3 N
end;</P>
$ i) ]) h3 r6 T2 M<P>function TTSPController.GetWeightConstraint( Individual: IIndividual): TInt;
1 n+ U C$ V; @var" Q6 M$ K% B& \; V. n- E, k) e
Indi: ITSPIndividual;
+ D+ u; m% e: F/ S( @( ]totalCapacity,maxCapacity: TFloat;
6 g7 M, X B4 Z# bi,j:TInt;+ @( ?! U. d9 E2 q
tempArray:array of TInt;
4 {/ s& F5 S+ h- V4 `tempResult:TInt;3 {+ h" w( ]2 R8 h8 S
begin6 z2 K U! f5 J) o. T6 } O: F7 }
Indi := Individual as ITSPIndividual;
; r" O8 A2 u4 {& B+ C1 BSetLength(tempArray, fCityCount+1);
3 l7 ?7 x1 F) Q* _7 f, NtempResult:=0;
* R# B5 P/ G: V/ i. b/////////////////////////////////////////////////////////* p/ s. c' C- V+ R0 C& j; [* V
for i:=0 to fCityCount-1 do- T3 }/ @8 U5 A$ B4 N! b
begin) e) _9 n( e" H* e2 e1 o \! d
if Indi.RouteArray=fOldCityCount+1 then
& l6 n* q$ i7 z8 Q5 Ebreak; m7 h, W: T0 ` V$ B# Q8 Y" Z; _" N
end;% K. a6 T g, j( |- Z0 H
for j:=0 to fCityCount-i-1 do2 s0 T7 H' [; `% T0 m1 O+ I H# }
begin/ F7 |% [* I! I; ^; @$ t( @$ @
tempArray[j]:= Indi.RouteArray[i+j];% e% g+ V; _- U
end;
G: _- E8 g) i+ R& B. _for j:=fCityCount-i to fCityCount-1 do% q) E7 U; n, \
begin& `8 \* |( d, E$ p9 [
tempArray[j]:= Indi.RouteArray[j-fCityCount+i];' e I& Y: h2 d) K+ r
end;
/ S' E" m8 G; z# d' rtempArray[fCityCount]:= tempArray[0];
, E9 Z6 g8 Q7 ~# v# G) \ w//////////////////////////////////////////////////////////" w5 v# ^" s! h' x
//totalCapacity:=fCities[tempArray[0]].supply; //supply
, Z, r% h. _& c$ BmaxCapacity:=fVehicles[GetVehicleInfo(tempArray[0])].volume;
, E" ~( h4 F" \, G' |totalCapacity:=maxCapacity;
0 S3 q2 o C! ? w# bfor i:=0 to fCityCount do0 z4 v) v2 l. g
begin
9 [ s; Q1 Q2 |& U3 h( a* Wif (FCities[tempArray].id<=fOldCityCount)and(FCities[tempArray].id>0) then# o* S5 K) r) R3 H
begin0 S5 ?" [4 @' M& I, P' ~/ F3 [/ E
totalCapacity:=totalCapacity+FCities[tempArray].supply-FCities[tempArray].demand;. A- e$ R) }; K
if (totalCapacity>maxCapacity)or(totalCapacity<0) then
. k3 Q2 J8 T3 b* q' Obegin9 F& x- ?3 S* {2 i1 R; ~
tempResult:=tempResult+1;# ]" b% v6 w2 t
//break;
7 x: u5 w/ A! T1 b# D- jend;, ]; E- \) ~" q$ ]/ j
end;
. e) w# f! t% {' Z2 B2 Rif FCities[tempArray].id>fOldCityCount then
$ a; ^* I( m m/ D' h4 Y' Ubegin
) d; w% n3 M" B( q& i//totalCapacity:=fCities[tempArray].supply; //supply
; J# {# r2 L$ T; a; b- l8 N. \5 R; l. @maxCapacity:=fVehicles[GetVehicleInfo(tempArray)].volume;
: _' K R, {2 O! [3 UtotalCapacity:=maxCapacity;
) x! |& A( k4 b! j6 K4 qend;& R& T3 F1 m* @/ O. s5 {6 H
end;, B3 y# m# [0 b6 J+ f
SetLength(tempArray,0);: B0 `7 B. z. S8 S, I& Y6 [! [
result:=tempResult;
8 ^* z0 v( X7 ]7 a0 D/ b' Gend;</P>
. n% E( o" y. w0 c4 L, \2 b1 g<P>function TTSPController.GetBackConstraint( Individual: IIndividual): TInt;0 O' ]+ V5 y( s! |0 d+ i. D, @
var7 _0 K* k) q' G. b6 o
Indi: ITSPIndividual;( g& x) V. L+ y- i
i,j:TInt;
1 p1 q$ L6 E; w* g5 {0 O8 D3 ]8 @' ltempArray:array of TInt;
4 K \* S2 ]+ u. ZtempResult:TInt;
( M- G$ |+ ~4 s' A; i; Xbegin
# F4 B$ n! W; j0 \! U' h9 IIndi := Individual as ITSPIndividual;" {* T( `4 P0 q+ i! w2 U
SetLength(tempArray, fCityCount+1);
4 D1 e. Y/ H m0 Z# j0 EtempResult:=0;" X; n2 i5 X* m' l1 u+ @0 W
for i:=0 to fCityCount-1 do. T- U$ u/ W7 Q- q
begin8 d0 Q- \! Y" `: Z1 @
if Indi.RouteArray=fOldCityCount+1 then! R1 g0 O4 N0 P2 d3 B4 `
break;# L# i- C, g" i, `7 A& \& [' B+ k
end;
( P z& n2 U2 ]7 v' Ufor j:=0 to fCityCount-i-1 do: b( m2 l5 b2 M
begin
! R+ o8 _. ^! i* j8 P8 M- dtempArray[j]:= Indi.RouteArray[i+j];3 ]3 \0 C$ ?" e5 L, t4 |
end;; X2 H' ]% @2 X" @/ q: ~
for j:=fCityCount-i to fCityCount-1 do, O& Q/ t/ K% Q" ~
begin/ \# G% [2 U, o: m
tempArray[j]:= Indi.RouteArray[j-fCityCount+i];$ i) B( W& ?: k4 s$ {5 I& e
end;& u9 b$ O R$ x* J6 X
tempArray[fCityCount]:=tempArray[0];& Q- G3 K- ~, S; l% q+ H0 F7 F
{tempArray[0]:=11;tempArray[1]:=5;tempArray[2]:=8;tempArray[3]:=7;
0 m: B; Q7 I6 Z0 {3 JtempArray[4]:=9;tempArray[5]:=6;tempArray[6]:=12;tempArray[7]:=10;4 B! [& t7 n5 |) K
tempArray[8]:=2;tempArray[9]:=4;tempArray[10]:=3;tempArray[11]:=1;
1 J; D! |; {" j3 D7 ^2 \tempArray[12]:=0;tempArray[13]:=11;tempArray[14]:=3;tempArray[15]:=1;
+ x1 i# ?# M1 B; D6 p' W7 atempArray[16]:=4;tempArray[17]:=11;//10,2,2}
5 |. p' r5 D' X' X( jfor i:=0 to fCityCount-1 do
5 G h0 `5 T# s4 c! o" abegin' d; t0 A! j( J1 F: q( R& c
if (Cities[tempArray[i+1]].id<=fOldCityCount) then
5 h o% e/ j9 \6 d1 A% Lbegin" }, I# V& M4 Q% E% A
fCities[tempArray[i+1]].serviceDepot:= fCities[tempArray].serviceDepot;
: ?+ B* i5 D2 y& K- m0 r! {6 z) L Dend;( U: C! g9 b% T! w6 W: ^$ V
if (Cities[tempArray].id<=fOldCityCount)and(Cities[tempArray].id>=1)and(Cities[tempArray[i+1]].id > fOldCityCount) then
0 g3 W/ \& n4 ~& S9 |begin' t3 W0 c% H5 @# T- V5 w+ [: ^# j
if Cities[tempArray].serviceDepot<>Cities[tempArray[i+1]].serviceDepot then //back to the start point
( `& A# d1 U1 l, f; Ibegin( T: v, `% R) g# e c7 O
tempResult:=tempResult+1;
& ]1 m& Y1 x4 ]- m. K" |, T+ ~// break;; @# a4 t( @) b9 e3 T2 p5 J! G$ k! \
end;
7 _* k" D1 h! `; u! Gend;) w+ K a5 {! J6 k I+ l
end;0 ?6 q5 _. F- j
SetLength(tempArray,0);7 J- a* W a& J2 T. t
result:=tempResult;
# a3 [# d2 z+ o; t# @end; </P>
3 X+ ?7 K/ z0 t4 _) q4 L<P>function TTSPController.GetTimeConstraint( Individual: IIndividual): TInt;4 f" \3 r T& ^
var
1 P& `' ^1 b z gIndi: ITSPIndividual;. d- c" E) I; U) Y% X, d' e+ d
i,j:TInt;
& V3 P9 e; h5 s9 B" btotalTimeCost:TFloat;& B+ _0 J O( A/ D& M6 s
tempArray:array of TInt;
$ R. r+ ^$ z& C9 j* z" PtempResult:TInt;
' g9 \7 w/ T( H, O2 H) B; Ubegin5 Q8 p T3 u3 H, x
Indi := Individual as ITSPIndividual;
8 t- E" _ q0 J& C; d& n7 U, oSetLength(tempArray, fCityCount+1);
5 x$ x+ p1 }8 |tempResult:=0;
: p# M* b% R( X. A& z2 Rfor i:=0 to fCityCount-1 do* r3 N* X. k/ ~
begin
6 o R! m. p- K' rif Indi.RouteArray=fOldCityCount+1 then% Y9 A2 ]. R- L: [* X6 n
break;! G& N8 K( C8 u! U& F
end;
9 K6 } O' C" u2 V8 ]for j:=0 to fCityCount-i-1 do
/ k1 T( ~/ n* H/ ]# f) `& hbegin+ A" r% g( `- t9 b* U1 H6 z3 M
tempArray[j]:= Indi.RouteArray[i+j];
* N# F. A' o. {/ |: Y7 tend;. y8 U# v& n Y0 E; o5 Q
for j:=fCityCount-i to fCityCount-1 do# v) c& L0 H6 S5 [# m! l! j0 Y P& I
begin+ v0 P" {* i5 U+ q8 g+ P* [& ~0 t
tempArray[j]:= Indi.RouteArray[j-fCityCount+i];& K" i' U: a% P. d! E* x, k
end;
" \8 M: b# _7 _% o" AtempArray[fCityCount]:=tempArray[0];</P> b+ R1 B5 w8 H8 ]# l, q
<P>totalTimeCost:=0;
% W% N/ K6 | l( s7 ufor i:=0 to fCityCount-1 do7 K+ ]# ~/ C) x. ~2 ]5 M9 Y
begin
5 t0 z' P. ~; K% {totalTimeCost:=totalTimeCost+timeCostBetween(tempArray,tempArray[i+1]);
$ G. K. j' I/ Uend;
7 k9 V7 v& [4 } aif totalTimeCost<>0 then tempResult:=1;( }) \7 @, m; X& V; k$ P
SetLength(tempArray,0);. l& o: l. ?# Q: `( F. N# q
end;</P>
3 j i5 _; W& e<P>function TTSPController.GetCity(I: Integer): TPoint2D;
0 P9 D4 ]5 ^8 B! xbegin
! J5 t/ c. S' h( r2 U* ?result := fCities[I];) r) H9 R; J/ _' [& H4 ]
end;</P>
# w& ?0 K5 z4 f<P>function TTSPController.GetNoVehicle(I: Integer): TInt;% ]) S/ ?+ `' ?* w
begin% f: _# P; n( W5 @) A
result := fNoVehicles[I];8 T; }" _5 S- _. w# N
end;</P>
! M$ A5 G/ Z5 ]<P>function TTSPController.GetCityCount: Integer;
! f2 l+ k# |; \# X3 Q- cbegin7 @/ Z6 V/ g: J
result := fCityCount;6 ? a3 {' h+ c& g9 `
end;</P>( I3 z$ B' O$ Q o$ j8 R2 C
<P>function TTSPController.GetOldCityCount: Integer; l+ S" X3 @8 ~4 n/ m6 y
begin
$ t7 N! b+ ^/ g1 S0 O+ m) }result := fOldCityCount;
. V7 r" y) L! x) C) |% y8 Xend;</P>
; u0 }/ a# B5 G* Q6 M<P>function TTSPController.GetTravelCount: Integer;2 k) @" C* x) J7 l
begin% m! T( m3 }- P# q: N2 p
result := fTravelCount;$ N3 Z. j6 Y1 ?5 M2 O8 P* W( K2 F" D
end;</P>
% J' T* B. Z: p: L) C. r! O+ g# ]<P>function TTSPController.GetDepotCount: Integer;
4 _- v. `6 z6 d7 {3 Ybegin
" K4 m" _6 Y2 _2 C+ Z* d0 kresult := fDepotCount;1 Y1 `: [1 ?( X
end;</P>
) x2 z! H% w R<P>function TTSPController.GetXmax: TFloat;
/ J7 \2 t% d% @' S' abegin% e" q, x( o. Z8 `' ]1 e
result := fXmax;
! f* O3 v& N+ G1 }# m; |end;</P>5 v& S7 n! ~3 d0 R z
<P>function TTSPController.GetXmin: TFloat; Y7 P$ ^ t* U9 X& i
begin7 J( k8 P, |4 I) y9 a
result := fXmin;; I6 }5 O* W( j+ Z- F/ v
end;</P>
( a9 Y4 [; D9 u4 n<P>function TTSPController.GetYmax: TFloat;
, x& z, L, g( @4 Lbegin) y9 _: i% @ k, k( }) V9 A
result := fYmax;
6 r. Y \ Y2 T3 [% o' o" Dend;</P>
6 d8 q5 `. r: U/ K<P>function TTSPController.GetYmin: TFloat;0 K/ N; |, S4 ^
begin
0 b2 g$ t3 ? |& G" a S& G! J% Uresult := fYmin;* U3 ]) ^" j" p$ t2 q$ G/ @
end;</P>2 ^6 a# z8 e4 ]
<P>procedure TTSPController.RandomCities; //from database! _+ X5 s" p8 j1 c' |; v
var
O" f1 {! n3 W* ui,j,k,m,intTemp,totalVehicleCount: Integer;
# C q" Y+ |, Z2 B0 M% L0 j5 E; otempVehicle:TVehicle;4 }( u! v8 |3 R$ f/ ]
begin
: G5 A& T" \7 W' t) N" H V: _//////////////////////////////////////////////////////////: Y1 v" }( O! H6 R3 z
fNoVehicles[0]:=0;
* H7 o9 H9 c L! P \totalVehicleCount:=0;& B* [) k, Y+ U% h! }
for i:=1 to fDepotCount do //from depots database
2 A. d e$ c" [; rbegin' u& i. D7 }$ z4 N# ]0 A
fNoVehicles:=fTravelCount +1;1 i d c7 q3 a/ c
totalVehicleCount:=totalVehicleCount+ fNoVehicles; //real and virtual vehicles2 j, M" d) x0 P6 U( E$ n
end;9 N/ s2 ~7 s. k, ?! A
SetLength(fVehicles,totalVehicleCount);
) u2 K& D( H/ Y4 L$ {/ x1 A9 qintTemp:=0;
! d I, j% ]+ |5 ^( P9 P+ V/ j& dfor i:=1 to fDepotCount do& Q9 D. }% H+ z
begin
- p- B# G4 i7 L5 q2 efor j:=intTemp to intTemp+fNoVehicles-2 do% _' m) y; P+ b8 f4 {: g: \
begin
F2 c( V# \# p0 ?7 e7 W' G" IfVehicles[j].index:=j+1;4 z0 D+ x3 j6 y8 U9 m( ~
fVehicles[j].id:='real vehicle';
9 ^8 f/ n" f, JfVehicles[j].volume:=50;7 {9 Q6 E6 G6 n+ Q* T
end;( ?$ f. S7 U! o, h
with fVehicles[intTemp+fNoVehicles-1] do
! Z) H- o: e3 p! n- Lbegin# N) u+ G8 E' c$ N; ]- ~- g4 ?& n% u
index:=intTemp+fNoVehicles;
- j- ?2 B/ ^2 Z `8 J1 T! N0 ~id:='virtual vehicle';
# E# T. _$ d) @8 b1 Hvolume:=0;
% x. \7 }7 W+ @9 ?end;* U3 M* @6 z, l ?( E
intTemp:=intTemp+ fNoVehicles;
6 a. F5 D( v7 y7 u- U1 |1 Kend;</P>4 n! W) X3 j1 y4 Q9 A, ?
<P>///////////////////////////////////////////////////////////
Y$ Y% Q/ R e( Y; PintTemp:=0;' U' f D4 L, Z* A/ C
for i:=1 to fDepotCount do //depot 1--value6 H# C" T' t+ V5 [- E
begin
N4 B9 Z% |" A) P3 D9 P5 ]' UintTemp:=intTemp + fNoVehicles;) a; ?! [' b; w$ y
end;</P>% R* A+ O/ |. q. L5 b5 W3 b! D
<P>for i := 0 to FOldCityCount do //from database0 q! g( M8 |9 n( r; O2 w
begin/ Q8 g/ t C2 r5 N2 l
FCities.id:= i;
; ]8 p" Z7 V% n% v& lFCities.X := Xmin+0.5+(Xmax-Xmin-1.0)*Random;
: M. H& Z3 N' xFCities.Y := Ymin+0.5+(Ymax-Ymin-1.0)*Random;) m. k: {# d- k% N; r4 Y$ n
FCities.early:=0;) f; p: n' d/ H% B$ A& R
FCities.late:=0; //TDateTime J8 w- w5 C; ?# f
FCities.serviceTime:=0;! ]1 y" j. A1 `$ D |- H) h+ ~0 B3 z, v
FCities.totalTime:=0;
% W) m( n8 T+ F! n/ k: o( YFCities.waitTime:=0;
' F1 j+ S: t1 [5 D. o# l8 |FCities.delayTime:=0;6 K' x3 u3 p5 w+ ?& E8 }& M% D
end;2 @$ }8 _: X: c# H3 ^" J
for i:=FOldCityCount+1 to FCityCount-1 do$ ?# q: T5 H8 o
begin* J* j. `' |. Z
FCities.id:= i;
3 V1 @! T/ s$ ]4 Jif fDepotCount=1 then9 b8 t/ g4 C5 t/ Y2 z
begin
% p T. D6 x( ]. t( D; k& OFCities.X := Xmin+0.5+(Xmax-Xmin-1.0)*RandomRange(2,4)/5;) ?/ O3 T; U# I \0 x
FCities.Y := Ymin+0.5+(Ymax-Ymin-1.0)*RandomRange(2,4)/5;: p" B( K1 h6 C3 z, X8 E; Z9 W
end/ \1 P' L' U0 S q# A$ U0 v
else
, W7 ~0 U; f) R# qbegin
' S- [% X$ _# \5 I# F' MFCities.X := Xmin+0.5+(Xmax-Xmin-1.0)*Random;
! B, `) V" w kFCities.Y := Ymin+0.5+(Ymax-Ymin-1.0)*Random;
* H! j0 R% B3 X) P* R/ _) \- nend;
. H! Y" Y$ z: F" k8 EFCities.early:=0;
6 `/ I' _5 o% F+ Y B! cFCities.late:=0; //TDateTime" l- u+ y4 |8 W: D; M5 F1 U
FCities.serviceTime:=0;
1 r! k4 V5 d0 ?FCities.totalTime:=0;
- h4 w! S' M1 z% Z$ x. H& l9 S% pFCities.waitTime:=0;8 B+ O! m: Z0 w' N
FCities.delayTime:=0;
5 g0 j( y- ^; P, v. B; xend;</P>% ~2 j# H2 P% e4 u
<P>for i := 0 to FOldCityCount do" @' `+ U" l0 D! Y
begin4 ?) Z) e% S5 {# A6 w4 O) w# e
FCities.serviceDepot:=i;; @( b( [3 o9 I+ @: @& l, b$ ^3 V: t
end;</P>
7 [% {5 c# z! u1 T" m<P>m:=FOldCityCount+1;* z5 e+ x7 r9 M0 q
for k:=1 to fDepotCount do' Q$ `- ~/ ?, Q; V
begin
4 A5 \6 M3 z: N9 _6 Sfor j:=0 to fNoVehicles[k]-1 do3 Y8 J. }. K. h* U4 I8 ]% X; @
begin' N9 C3 I" t8 Z
FCities[m].serviceDepot:= fOldCityCount+k;
+ N* ^. T" r% ?; E- D$ v6 T' @m:=m+1;+ F9 E4 X' T3 v! d/ ^& s
end;
- s3 [; k3 V: e0 b |+ ?" T8 iend;</P>
8 w: j7 V( p8 d9 W5 F* d0 K( T$ f<P>//supply and demand //////////////////////////from database
# X$ I* r2 s: U- W, YFCities[0].demand:=0;- g/ K; P- L5 z! P: O/ z8 @
FCities[0].supply:=0;
/ y `6 D0 ^4 ]6 xfor i:=1 to FOldCityCount do
* i6 G+ Q4 e! p/ ^5 s' Bbegin
4 {1 c6 a+ ?* {FCities.demand:=10;
! n" M6 U; g4 `9 N* Y' kFCities.supply:=0;
/ Y6 I9 T. i4 z/ U& N5 M4 |end;9 I3 E8 H+ k6 i I/ Z" \% }
for i:=FOldCityCount+1 to FCityCount-1 do
( f3 S. \# z0 N' h) ^: _begin
# K" s+ Y# n! ~! R1 o. c4 gFCities.demand:=0;: V! G+ @4 Y9 T$ W& {
FCities.supply:=50;9 F* V0 U5 h; @' L9 q1 g
end;1 t6 c8 ?) L) G( D# A4 |0 H8 m O
////////////////////////////////////////////////////////////</P>
) K, f- P. u6 j<P>intTemp:=0;
) _2 y( W) u4 S" A2 nfor i:=0 to fDepotCount-1 do
! F" K4 }- o( m- }* J- ^* C& ibegin2 f4 R7 P) n; R
intTemp:=intTemp+fNoVehicles;
6 W' o, U$ R1 ^: D' Z8 ~for j:=2 to fNoVehicles[i+1] do+ n3 K8 U9 V; z) L& K
begin
; F: c m. H4 g3 TFCities[fOldCityCount + intTemp +j].X :=FCities[fOldCityCount + intTemp +1].X;) z( G; O- o% Q& t
FCities[fOldCityCount + intTemp +j].Y :=FCities[fOldCityCount + intTemp +1].Y;
; x8 @- {4 e* E0 aend;! w( a. L) m) b; w$ e/ B# d
end;) Y( z2 ^: ^; x& x
writeTimeArray;
6 D2 a7 c0 l0 K5 G# U0 }: t0 \4 kwriteCostArray;
9 Q9 i6 m: v0 E+ b% s; {) Dend;</P>
% z" X$ p1 n$ Z! }+ e" K X4 L# P9 v0 [- H<P>procedure TTSPController.writeTimeArray; //database
/ x& W4 Y5 H7 @/ hvar
1 C5 o$ G9 S6 ~" K mi,j:integer;/ ?4 q+ y! w) P* h
begin
+ F0 ?' y5 Y1 v' q' m! \SetLength(timeArray,fCityCount,fCityCount);
; P: r% F7 |3 q0 `for i:=0 to fCityCount-1 do
, N$ e2 W1 u4 i5 Zbegin( D5 C D; R5 c* F# h4 d! R0 c, F: u1 c
for j:=0 to fCityCount-1 do" Q/ w. L" u: K- L( a1 S# l
begin
. L$ j/ s$ O1 |if i=j then timeArray[i,j]:=0
) w1 V' ]% |$ @3 M4 |9 gelse timeArray[i,j]:=10;
5 w) b4 `' @+ Hend;% d% |. ^" w2 r
end;; P: z2 |+ Q2 ]* {9 A
end;</P>
# ?: T J, `; m% }5 D<P>procedure TTSPController.writeCostArray; //database: T6 S, h, N4 ?& z, [/ N9 h
var5 e* L3 @- _& W6 k# z" \/ R$ R
i,j:integer;
+ X) {% v% ~- d" J7 t. K* e; sbegin
! L5 e. s; k! z# `7 eSetLength(costArray,fCityCount,fCityCount);; y8 u" k% S0 f! [$ u% c- x, g
for i:=0 to fCityCount-1 do- e' o* w7 V/ ^: `6 T% x+ C
begin `: ?; w7 H5 f6 l7 F
for j:=0 to fCityCount-1 do
% Z* G1 L9 h4 ?begin
5 `% I& `" b0 L6 u- p: wif i=j then costArray[i,j]:=0; ~( n+ j( t3 J8 h, d2 l
else costArray[i,j]:=costBetween(i,j);( o9 u3 W+ A: E- S+ ?0 v
end;
5 h) O9 |) q |7 x$ ~& f7 F ]end;
& S( {" s5 G3 j/ L5 `0 ~end;</P>% E# `7 h) }5 V
<P>procedure TTSPController.SetCityCount(const Value: Integer);
6 V& Z# Z }, O6 Rbegin1 w- h0 V8 A( c- B9 t( \2 [+ p% h6 W
SetLength(fCities, Value);
$ [! B8 p0 Z" \$ Q. WfCityCount := Value;</P>8 L; G/ M, l6 ?9 I" B; a; j% a
<P>RandomCities;* Q N2 l- [, ?8 Y) q
end;</P>
, n. E0 t1 E5 i) V" S h3 L# M<P>procedure TTSPController.SetOldCityCount(const Value: Integer);& _ u5 y3 ~/ C' v' ?
begin
( A% `$ P% t7 m& f5 A& F. vfOldCityCount := Value;* J! U' U% P' p' v$ f& B1 v$ m
end;</P>8 G8 W* W' P( R8 ^
<P>procedure TTSPController.SetTravelCount(const Value: Integer); ///////////5 `, S3 G2 q5 i x$ @! c
begin
. @- D# H7 d& v ~6 Q& S, pfTravelCount := Value;! X; E4 S# N- x0 w
end;</P>5 }! ]4 h6 _8 Z0 n
<P>procedure TTSPController.SetDepotCount(const Value: Integer); ///////////
8 [ L0 g$ ]* {2 R. Y' Nbegin( {& }# Q, d+ U0 @: y
SetLength(fNoVehicles, Value+1); ///////////////3 r$ t4 h0 d5 G, a( E
fDepotCount := Value;
" W! M- c+ N, Q$ e' M) n7 mend;</P>
5 B U ^% L, M3 R# l/ B' y9 i<P>procedure TTSPController.SetXmax(const Value: TFloat);
a$ Z7 r' F k5 ]begin
' D" q0 Q- E0 x. L+ mfXmax := Value;" U$ U; {4 G: {+ A2 q' G# i6 S
end;</P>5 k6 L- ]' p! J2 q
<P>procedure TTSPController.SetXmin(const Value: TFloat);# B; `3 Z" Z- I! N3 _
begin
# G. E. d$ y/ b6 L8 H# \# \fXmin := Value;- M9 ]' _ Z9 R0 C& @; D
end;</P>- \6 i, \" j& G! k0 ?
<P>procedure TTSPController.SetYmax(const Value: TFloat);$ H% N. H: d( d( {4 A5 p" z! \6 y
begin* Y9 C8 T& a( y: l
fYmax := Value;% D( U) z& g6 M/ P, b
end;</P>7 z$ \6 M- \$ T. `2 A
<P>procedure TTSPController.SetYmin(const Value: TFloat);$ E" p6 T& {! h$ @' R0 X7 _: P$ y
begin
& `- v) o) E0 c0 {fYmin := Value;
3 M) Z. Q, l, i6 d3 B+ J1 Hend;</P>
! U' X% L9 Y" ]* Q3 y<P>end.
3 Q0 |3 |0 b j3 r+ X; O4 q! s</P></DIV>8 }% {$ e1 } ~: E" p' w4 ]
[此贴子已经被作者于2005-4-27 15:51:02编辑过] |
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