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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>
$ H5 ]+ F' }. _: X< >旅行商问题(traveling saleman problem,简称tsp):: T* D k0 x9 J) M) P$ `5 a+ X% b
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?
, j J$ d5 C9 {7 M/ ?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。% Q( i) w8 i: Y* r Q. F
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)。
4 T! N5 z1 Z/ \7 c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:
* y; |7 Z' J B8 f: ?6 emin l=σd(t(i),t(i+1)) (i=1,…,n)
: i0 e r( c$ G0 V$ n1 r3 ]6 ~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。! I K7 I! g/ w4 i
遗传算法:, W# O1 C/ s& h$ S& r4 u, i
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 k' Q; |" e& v- N r
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)).$ f2 Q# ^" ~; ^6 ], l7 a- E) V$ }
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]. Z+ k v0 H% V+ R4 v5 @3 X
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。 N+ i; K" g6 H% W
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.) i/ ]! ^; x- D# T9 \9 n# B) w& X
step2、从区间(0,pop-size)中产生一个随机数r;
: \$ V0 Z% K) ~& X8 wstep3、若qi-1<r<qi,则选择第i个染色体 ;
3 O' a* ?7 ?0 \9 p) @step4、重复step2和step3共pop-size次,这样可以得到pop-size个复制的染色体。
4 p- y, i3 h1 V4 S$ Z' _% mgrefenstette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:& |3 A" F2 @8 [
8 15 2 16 10 7 4 3 11 14 6 12 9 5 18 13 17 11 R4 H9 D3 P6 f+ T7 v3 M
对应:
& D3 G* x% o* |7 t8 14 2 13 8 6 3 2 5 7 3 4 3 2 4 2 2 1。
6 [. z. ]8 {1 p: w8 G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。
4 }3 ?3 l# ?+ m& {5 f$ ]8 A# G将所选的父代两两组队,随机产生一个位置进行交叉,如:+ R% i0 R' A' ^$ k" H
8 14 2 13 8 6 3 2 5 7 3 4 3 2 4 2 2 1
5 L; k. x' o0 s6 12 3 5 6 8 5 6 3 1 8 5 6 3 3 2 1 1! S" _$ D4 \/ V
交叉后为:1 X6 C$ A$ W2 F4 C
8 14 2 13 8 6 3 2 5 1 8 5 6 3 3 2 1 17 N. h8 b2 L$ {( I9 x5 H
6 12 3 5 6 8 5 6 3 7 3 4 3 2 4 2 2 1
5 k2 I+ ?1 h6 J8 w I) }3 y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:. k) P9 V. R0 u( g0 g! e
8 14 2 13 8 6 3 2 5 7 3 4 3 2 4 2 2 1
3 n, a1 ?8 {1 F5 h0 h变异后:
; C# ?# l3 S3 [6 I) |/ C# l8 14 2 13 10 6 3 2 2 7 3 4 5 2 4 1 2 1
o$ d$ F6 z6 {( l, Y2 H. y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。" K9 b0 ?% P3 B2 A0 S
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>
9 j9 m5 g% j, v# L< >Matlab程序:</P>
: E' y9 g \5 ^+ U+ z$ Q<DIV class=HtmlCode>6 p$ P! |2 \1 O$ \1 x
< >function [bestpop,trace]=ga(d,termops,num,pc,cxops,pm,alpha)- U U z; Z0 |/ m* p4 L, X
%
) z. f3 m7 d; X%————————————————————————- X3 N& F$ t# n' |1 U
%[bestpop,trace]=ga(d,termops,num,pc,cxops,pm,alpha)8 X9 \# x! ]7 O6 t" B
%d:距离矩阵
$ C. C2 {) u6 D2 d9 S%termops:种群代数
; o8 [( }8 \% {%num:每代染色体的个数
0 L W: b* w$ _9 V: m- [%pc:交叉概率
/ t# o9 `" g. l2 H" _; e%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。# h- t! j+ E1 K5 T; A- t7 j
%pm:变异概率# V3 {6 T% E6 ~4 R( `* j
%alpha:评价函数eval(vi)=alpha*(1-alpha).^(i-1)., d" B( l# E, @% u/ N$ d) V
%bestpop:返回的最优种群
, F0 S7 V! x2 A& N: c. @%trace:进化轨迹
2 V% w* v' @ c( _- i%------------------------------------------------7 ?1 d% q; E# T
%####@@@##版权所有!欢迎广大网友改正,改进!##@@@####( F; [/ J: t5 R1 h9 a
%e-mail:tobysidney33@sohu.com
1 H* d( J+ k2 Q3 X%####################################################" O) k% a" a ?+ M+ s e8 p% P
%
& a! [$ g& P G9 @citynum=size(d,2);; I3 q( J9 r8 k$ Y. g7 x% G. _
n=nargin;9 i3 ~0 {0 N- Y* ^. @
if n<23 x2 O( ^$ T, I* y: P
disp('缺少变量!!')
7 R* `1 x' N$ u$ I% vdisp('^_^开个玩笑^_^')
# {6 V9 u$ p) R5 {8 Q; l" hend
4 T% F- \+ [( K* x3 ]$ F3 Z, i+ Iif n<2
I8 X+ h9 w& vtermops=500;
6 B" x: v# L. T* d! Anum=50;
% J, F. l. H, z& V G) \% U: }pc=0.25;5 N8 R, H+ v* b) h& z. E
cxops=3;
, h7 F7 ~) [$ \& U. Npm=0.30;7 j! R8 A+ }- D" N( o
alpha=0.10;! K2 b; q9 R& \/ ^4 Q
end
. S1 I- X; V! }" Wif n<3
) g! X* c- c- Snum=50;7 z9 J5 W9 N0 O7 e
pc=0.25;
) r* o/ ~2 J' K* Y/ x- J4 jcxops=3;, u6 j' f; \0 P# j# [, h$ N
pm=0.30;
, a, D& x9 I5 D4 M9 @3 K! \alpha=0.10;8 R8 G( K& g9 j$ M$ J
end' o5 F/ B. p' p8 C: |. J
if n<4
! D6 v9 D4 s( _7 [pc=0.25;1 X3 f* O% ]; O) h' M
cxops=3;
, B8 O! _) y( y6 K# apm=0.30;
2 Q& o% P7 X- v4 X! l6 I6 Aalpha=0.10;* b' P4 W! c4 K( A! q5 u
end
5 ~- } {% A' s. mif n<5- i% U& h7 E( R) {
cxops=3;
/ ?+ T4 V4 C2 Z- cpm=0.30;
' w" H7 o5 { |+ Y0 zalpha=0.10;, @& r. F* k/ q4 _2 u4 L# c
end0 s* M9 g) [& M1 l2 [( B
if n<6
. B! Q$ N* `1 ]pm=0.30;9 Y5 @1 B9 S c3 t* F/ e$ ?, @
alpha=0.10;* G$ E* e. r0 O& x. |2 _/ ~
end
2 o+ e C# a) ?* P. s+ t4 |if n<79 Z/ p* k) Y8 h" r* e
alpha=0.10;
" |! ^9 N/ t$ D4 I+ z/ Wend# Z4 E, R$ Z0 U
if isempty(cxops). W4 e a! ?. }$ J7 ]
cxops=3;
( d$ y/ _5 I3 H- o# _! B# V6 v' F0 u4 vend</P> h/ s) Y+ s0 r+ i& G& ?
< >[t]=initializega(num,citynum);/ v' J1 k* l* q7 ^
for i=1:termops4 Q* R1 `2 }/ n% }' [( v( D
[l]=f(d,t);; ^" g: J% l2 `& P- e7 e
[x,y]=find(l==max(l));
0 p) \4 L5 L( {/ Btrace(i)=-l(y(1));% d4 }; r( z( X1 A) M( B) g
bestpop=t(y(1), ;. ^- G) q% @9 I5 [7 @% d; Y0 b
[t]=select(t,l,alpha);3 n' b" R, D8 K1 A
[g]=grefenstette(t);
# ^# u0 n' I3 p1 o" m$ _[g1]=crossover(g,pc,cxops);
. I: ~, J; j Y& b$ ]& |8 L" c# O[g]=mutation(g1,pm); %均匀变异3 H9 Z2 c* b. o1 M. c3 U
[t]=congrefenstette(g);1 D2 ]( O1 G1 t. [0 F
end</P>6 y3 Z E- P: i# H* N
< >---------------------------------------------------------
3 I0 ? I2 c4 c. }7 X8 tfunction [t]=initializega(num,citynum)1 Y; x( F& p- x6 w* s7 B( \$ Z
for i=1:num
( }" T1 \/ q' @2 \t(i, =randperm(citynum);& S* I5 ]. ? Y. j. Z+ D9 M
end
& E/ j& E7 b5 D/ T. V% S6 o-----------------------------------------------------------: x) ~6 p. G0 ]( i
function [l]=f(d,t)0 \% }* b, D0 f# [6 [
[m,n]=size(t);
* F f+ ]8 O a8 j# u! Dfor k=1:m: k1 `* s9 Q# |3 U& }% k
for i=1:n-1
- ~7 D! U6 b0 k h0 cl(k,i)=d(t(k,i),t(k,i+1));: a9 v/ J' _8 }) q9 h
end
* ~; M- g9 [1 ]l(k,n)=d(t(k,n),t(k,1));) ~2 \% ~8 T$ z0 Q( l
l(k)=-sum(l(k, );1 R; }. N! j5 A- m% c6 ?
end( _9 Q0 n( }0 x- b
-----------------------------------------------------------
% ?$ H5 V* p$ G- I4 X$ @! O, Sfunction [t]=select(t,l,alpha)' x- e: {9 m0 o. a
[m,n]=size(l);
2 y, C" S1 [1 ft1=t;2 s l# U7 u1 Z9 u$ S4 a
[beforesort,aftersort1]=sort(l,2);%fsort from l to u
* z* ~6 U# w) o# }) Zfor i=1:n3 E# L8 F& b/ u; X( j# M
aftersort(i)=aftersort1(n+1-i); %change 8 d: P) m" x# G' i$ F
end; J* b0 }# _' k- W+ `2 x4 [+ ]+ b
for k=1:n;: C, X0 Q5 v, B# I, X% S
t(k, =t1(aftersort(k), ;
) b/ D, l: r. a" _7 n! gl1(k)=l(aftersort(k));
- K1 A' @6 }, j% V+ ~) }% uend
: \/ [9 ~8 H3 Ft1=t;: k1 S! x: Z9 k0 `& z
l=l1;3 v3 G2 u0 g1 H% E6 H: z/ ^: W* W
for i=1:size(aftersort,2)$ c$ C6 T m* s3 u- K
evalv(i)=alpha*(1-alpha).^(i-1);
+ c8 }# {1 X7 j. C+ {+ Dend
+ ]$ w2 J6 N3 m2 [5 |m=size(t,1);
" b6 t7 x0 Z& Y6 }) pq=cumsum(evalv);
+ u- L: Q6 e: Z5 o- }8 Bqmax=max(q);7 p* a9 F- V8 i" ?1 z0 W
for k=1:m* s" X. R9 f* J$ g' ?( P" R
r=qmax*rand(1);0 l1 \- Q' @; R
for j=1:m5 P: W& X$ q2 Z
if j==1&r<=q(1)
' A1 Q6 U* U# G |t(k, =t1(1, ;3 y2 Z/ v5 a( K1 f% o8 y' k( d
elseif j~=1&r>q(j-1)&r<=q(j)0 h2 R7 w, O' b2 C. c3 i3 f& X
t(k, =t1(j, ;
) M X; h- f7 }* L2 k6 P6 ^end, a+ Y: W. T! A9 v) q' |( C
end
4 b) A! N+ _8 G3 z, o% \# g/ yend
( P& u) O2 D/ b) Q--------------------------------------------------1 U8 \, j$ ]- K0 h
function [g]=grefenstette(t)
& k. ]) \8 v5 K' z: ~[m,n]=size(t);) c, c* Z0 v- P) z8 ~3 k& F6 m/ H N
for k=1:m, G( Q ? B0 I
t0=1:n;
8 j: E8 u3 Y4 Y% S. `for i=1:n- g# h; R7 O# T( d
for j=1:length(t0)
/ L: A; P4 P* A$ @- e1 Q: Mif t(k,i)==t0(j)
8 v8 r9 l' h0 f' X* D# Og(k,i)=j;* t$ `3 Z# ^2 u# p# V% X
t0(j)=[];
' Z$ g* b: k# h! dbreak
+ o4 s$ H) R9 o* I, a; o" dend7 q4 F' I9 l ]/ S6 p) P
end
. b+ `5 A- r9 Kend
2 b$ @& R" M9 Lend; p; H' v+ Q" n7 N8 b
-------------------------------------------# Z- M, q! `, Q8 @
function [g]=crossover(g,pc,cxops)
, F$ R5 [9 X$ A: l- R[m,n]=size(g);( [! A3 d/ K, J$ B+ T% h l
ran=rand(1,m);
( g* X! m9 J! T3 Ur=cxops;
5 M6 ?5 o" {1 Q0 ], ~[x,ru]=find(ran<pc);+ p5 S R' T) h1 {
if ru>=2* u ~5 U. n' k! X
for k=1:2:length(ru)-1
D9 f) h7 L. _1 f% Kg1(ru(k), =[g(ru(k),[1:r]),g(ru(k+1),[(r+1):n])];
8 V. t: b! I$ Jg(ru(k+1), =[g(ru(k+1),[1:r]),g(ru(k),[(r+1):n])];& Q5 ]' `1 [) ~% O
g(ru(k), =g1(ru(k), ;, z$ J: _' m2 ^
end0 i4 f$ L; e) e( G
end
$ M0 t% l" D, m1 w; o4 U--------------------------------------------4 ~* v0 g# t# X5 |
function [g]=mutation(g,pm) %均匀变异
& J3 H# n3 r% t! ^: |: X[m,n]=size(g);6 h4 a: ? k8 ~& I5 d- i/ z
ran=rand(1,m);
+ @, q9 B- N; s3 G1 G7 y. t% W4 \- hr=rand(1,3); %dai gai jin; I0 g$ Y f( E8 P6 N/ i) l: R- `
rr=floor(n*rand(1,3)+1);
, v; E& m! g' p% g% O[x,mu]=find(ran<pm);7 W3 G! c T* }. r& `* e6 z3 _
for k=1:length(mu)+ I o5 t7 j: i
for i=1:length(r)
; q, S0 {& x* @0 G2 @! U: bumax(i)=n+1-rr(i);
0 k& K) S* v9 B2 b+ a1 C$ S+ U8 Rumin(i)=1;6 r, p j0 s# E" W+ M( o* D+ o
g(mu(k),rr(i))=umin(i)+floor((umax(i)-umin(i))*r(i));6 z, G6 L& R% V5 u0 h
end
; e" x/ z# p5 W& W ^: G$ |! g& Nend) O7 M ?1 r. Z" a! t- \0 ]
---------------------------------------------------7 h! |5 w @$ `+ r+ }5 m4 B- S
function [t]=congrefenstette(g)& P& m7 s" n5 y% x3 b" \! R) Z
[m,n]=size(g);4 l% v3 o& S% b5 a& }
for k=1:m) P! Q& I, K4 G& u+ t8 _+ `
t0=1:n;
2 w& h( E: `8 U" C- x# cfor i=1:n- M; w! u) r3 Q$ i8 f9 @ U0 w- c
t(k,i)=t0(g(k,i));
$ L; K g( ]% f/ I( ^8 bt0(g(k,i))=[];' S# ~) `8 b, f. }# K
end
, [- B6 }: y3 s/ ~/ q! r& T/ gend O7 o* G; l( [- w0 X+ ]5 L6 h2 s
------------------------------------------------- </P></DIV>
; o: D/ K: s& ?< >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>
9 d0 {& _3 I, w<DIV class=HtmlCode>
% P5 _9 U4 c, u; ?6 n, T l< >%TSP问题(又名:旅行商问题,货郎担问题)遗传算法通用matlab程序/ S: [: [0 b$ T2 p$ E
%D是距离矩阵,n为种群个数,建议取为城市个数的1~2倍,% s( `3 d5 n1 T& D. G4 p9 }4 N
%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7 J0 o6 v V' G9 X( o
%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
; P) B/ f' [4 n8 {$ W%alpha为淘汰保护指数,可取为0~1之间任意小数,取1时关闭保护功能,最好取为0.8~1.0
, S" e( f- x' R( ?2 Y) J%R为最短路径,Rlength为路径长度
% L' \% F' R* m) Z5 V" _) h* x/ [function [R,Rlength]=geneticTSP(D,n,C,m,alpha)</P> B2 p/ D Z- }4 | | X- k
< >[N,NN]=size(D);
& n& s: C& q2 O1 pfarm=zeros(n,N);%用于存储种群) [! l ] k$ W6 p9 ?5 [4 {3 q
for i=1:n/ Z7 T: \+ a. e9 l9 g( P4 h
farm(i, =randperm(N);%随机生成初始种群9 K, x w. V! k3 o' |
end5 ~1 q# j) k5 i, v2 g
R=farm(1, ;%存储最优种群/ i/ D5 Q; U( ~( r z: U- ~ F
len=zeros(n,1);%存储路径长度
& k$ V0 \8 m* I0 F* P9 b* Afitness=zeros(n,1);%存储归一化适应值4 k3 D( s) {) j( ?
counter=0;</P>; y" q" t# W, o7 B# G, J) h+ m! I5 L
< >while counter<C</P>
' y' k9 |# Y8 L* @$ B< >for i=1:n
3 t* e2 T" l/ D3 flen(i,1)=myLength(D,farm(i, );%计算路径长度
/ t9 K0 Z# V# x$ d0 ~- R8 Mend+ H! d3 w W4 Z8 v- ]/ g* e( b; m3 T
maxlen=max(len);3 [0 y5 ]& }8 o, d
minlen=min(len);
) @/ S9 n* |7 B( {, f- dfitness=fit(len,m,maxlen,minlen);%计算归一化适应值, X' I6 f9 P/ z6 _ h* I
rr=find(len==minlen);
& v* B4 i' C4 I9 U! ^3 zR=farm(rr(1,1), ;%更新最短路径</P>
* a* u* [$ g) B< >FARM=farm;%优胜劣汰,nn记录了复制的个数
* z. g# T& ?$ z# z* ^- g" _, F4 d3 rnn=0;
3 \4 E" ~6 D# Q& j6 a6 g' h# [& `for i=1:n, |- k/ i* N% H9 D, y" z9 X
if fitness(i,1)>=alpha*rand
/ K5 m: x# d: T0 H2 G9 F' f% }; o/ Rnn=nn+1;
* B0 R0 F5 |. P- NFARM(nn, =farm(i, ;5 h! @( e5 j+ W2 Z
end. J! `. _7 a; j- l
end
3 g6 v& O X4 e# J4 G6 E5 k l3 m6 nFARM=FARM(1:nn, ;</P>
& o* a/ M4 @$ j3 w< >[aa,bb]=size(FARM);%交叉和变异
: q/ L8 q( J3 u- M- h7 e: y6 Lwhile aa<n
1 Y* B- ~. C J$ ?4 G: ?if nn<=2) L; [# o6 ]+ A) H3 r) N' [8 B
nnper=randperm(2);
* k) v* N/ W# V) q! J! telse7 s% X4 @4 T1 @: y
nnper=randperm(nn);& _' w+ e+ y3 b- ~ L% ~
end
: Z2 a f0 B( hA=FARM(nnper(1), ;
7 M4 W1 F/ \ v2 h. @) M) G+ {B=FARM(nnper(2), ;
* }* q) z# y1 P$ H' c ^[A,B]=intercross(A,B);; N0 l/ d% B3 M+ i
FARM=[FARM;A;B];
% H7 t0 l5 V1 a0 \[aa,bb]=size(FARM);6 F- z X0 q1 |) s3 `2 z$ U
end
* G3 u# K( w# }" |$ w! t+ Nif aa>n
- X/ E5 t9 |" }2 S: b: Q$ wFARM=FARM(1:n, ;%保持种群规模为n8 |$ Y; Y7 D1 }& i
end</P>
" m7 ^+ f. ~( u/ r U$ k0 i< >farm=FARM;8 o r) H" F; H9 \8 s F0 l
clear FARM4 W& L8 u8 n+ {+ _
counter=counter+1</P>
/ }+ R, @; o& {" |< >end</P>) D! c' A) d% m5 E+ ]
< >Rlength=myLength(D,R);</P>( |* b# T5 |8 c" p
< >function [a,b]=intercross(a,b)- [8 n Q( `' x0 ^) L( d3 [
L=length(a);, \0 P" y7 H3 i9 \: Z, L1 R E
if L<=10%确定交叉宽度
1 j% j; J5 E+ y& P/ f6 [W=1;2 p0 a5 b/ P- J; r K* N/ t
elseif ((L/10)-floor(L/10))>=rand&&L>10
) c& V7 I K) s d. JW=ceil(L/10);
' G. N E' _9 Pelse
( Z6 m2 Q& p7 \( ~# {- u+ SW=floor(L/10);
4 a; `+ d6 x8 d! D1 Dend
: _3 f2 M) w2 Z3 R& Y7 ]p=unidrnd(L-W+1);%随机选择交叉范围,从p到p+W
K3 G& m; ^5 y1 T, lfor i=1:W%交叉
% ?. G, n0 {+ Z6 r0 Y) b! B* x5 wx=find(a==b(1,p+i-1));
! e6 A2 t6 g/ @' n, R- ~9 yy=find(b==a(1,p+i-1));
+ @( j( U/ A4 D[a(1,p+i-1),b(1,p+i-1)]=exchange(a(1,p+i-1),b(1,p+i-1));! N$ G/ d4 Z$ `+ ~/ j
[a(1,x),b(1,y)]=exchange(a(1,x),b(1,y));
6 l& c% Y) ]9 K; [0 w! F0 Z0 Aend- b# Q% V2 }' r+ Q5 ]4 r& l* s6 V7 x9 s
function [x,y]=exchange(x,y)# b8 B7 Y& Q/ Z5 k. ~
temp=x;
8 V7 B# }; N; ~& s [" G+ ]4 ~" i( Kx=y;
- U- U8 L; K0 V& jy=temp;</P>$ L* n8 f K+ i1 g* S1 O$ _
< >% 计算路径的子程序
) u" F; d$ L7 B vfunction len=myLength(D,p)6 G% s4 `6 I6 B$ X. R% ^ u8 h7 v
[N,NN]=size(D);
- Z6 g- U' s( G) s" x! Plen=D(p(1,N),p(1,1));
7 N0 X5 r( B% ?for i=1 N-1)6 L7 Y- e4 { y, M9 Q; q9 U
len=len+D(p(1,i),p(1,i+1));2 i; S9 \% a- V) e8 \7 f
end</P>/ `0 k# y( n' F9 c
< >%计算归一化适应值子程序
$ ~) D3 S+ \' W7 W* c N8 ^function fitness=fit(len,m,maxlen,minlen). x/ B8 c2 ?) B/ r( h
fitness=len;4 [( f! ~1 i+ X% C0 c
for i=1:length(len). y5 ^7 c9 W8 @! x( p* Q
fitness(i,1)=(1-((len(i,1)-minlen)/(maxlen-minlen+0.000001))).^m;
& o. l0 z, ^$ Fend </P></DIV>
4 Y* E. k* A; g1 k6 ?< >一个C++的程序:</P>
8 U7 }. W$ y' j5 x* h<DIV class=HtmlCode>
5 ^/ g8 i# \- W< >//c++的程序( t# l5 c0 J5 t
#include<iostream.h>
5 k1 L. t1 J& J( B$ j#include<stdlib.h>( S3 Z6 Q% W0 s) f8 K6 w
template<class T>& F6 F* h3 W8 f6 p3 p, X# I! Z
class Graph
. E( V& x- y4 x5 S3 f5 o8 m- f{
* J# z7 N n( n! `. O B" _ public:+ h4 @& F2 y" c/ q X9 S1 d' x
Graph(int vertices=10)0 Z5 X7 L6 i1 c# {* a7 R7 V
{
: I3 @! b7 Q7 g' H) i+ X n=vertices;
. b8 N3 O; o4 ]6 G9 h% U p e=0;
8 V- H' ~9 d1 x! T }
% c6 h6 p, n& f6 U ~Graph(){}& I' ?8 t( b& z
virtual bool Add(int u,int v,const T& w)=0;& r0 H9 ^. z! p; B5 S% U8 P
virtual bool Delete(int u,int v)=0;. a: T$ ]# |; k' H6 }! ?8 `' A: j
virtual bool Exist(int u,int v)const=0;
5 [( v" @% ?1 _% A int Vertices()const{return n;}
: D" ]/ l0 Q) e( u; a int Edges()const{return e;}; j$ n% g: M1 Y: v0 S8 a
protected:3 j$ s0 u* b; [/ M6 i
int n;
1 |5 v+ R, Z8 X2 A, O2 ^ int e;6 L/ y! ~2 p2 g& N' M T4 p7 X
};& N3 t2 C0 Y( q4 M# x
template<class T>$ _1 V0 \& F" S! N
class MGraph:public Graph<T>/ n9 E e% c7 D9 v: O
{* H' {; M Q6 G% N7 H7 q7 M: d
public:
, Z8 B% f5 V1 O) `& x+ V) | MGraph(int Vertices=10,T noEdge=0);
# C" [" G0 E9 L ~MGraph();6 k# n- ?1 A# E: `6 l
bool Add(int u,int v,const T& w);
7 `1 B' W4 Q" y b bool Delete(int u,int v);
. F: U# I" A8 G# F/ i- c bool Exist(int u,int v)const;/ M& ~0 C. n% _% M! k- h
void Floyd(T**& d,int**& path);8 z; j! A5 Q, A' } s$ A& |
void print(int Vertices);
+ a) i+ g5 y6 f S- g2 g private:1 M. Y9 o" k8 R0 ?/ q
T NoEdge;
) I9 N7 e! Q5 i$ [8 T! F T** a;( w" }9 Q4 V+ g! T% G
};
1 Q' R8 I& d% q( ^! btemplate<class T>
$ s, ]5 Q$ o" f$ b- YMGraph<T>::MGraph(int Vertices,T noEdge)
: r6 B u) b$ J( ?; X- ]5 r7 t{1 G+ W9 t+ U& D4 |9 u
n=Vertices;
! r; s8 D2 o( M+ `) n' u) U NoEdge=noEdge;% M& s: w0 p" R( [0 ?
a=new T* [n];
# z" U# m- b+ @) n/ v0 Z for(int i=0;i<n;i++){
$ w" d4 B" v- Y! h7 a T8 |2 A: w+ X a=new T[n];( v0 U* j6 N) m) @, v
a=0;
' z$ J$ K, ?1 I# _' Z for(int j=0;j<n;j++)if(i!=j)a[j]=NoEdge;
+ g! _; g+ J7 M/ X- Y/ `9 S: s }
8 s- `) R3 ]# e7 y: n& u}
$ n2 \* ~& u0 J3 D+ [/ rtemplate<class T>, f2 u7 w' i1 w4 q- {
MGraph<T>::~MGraph()# W" e' v* {1 O) a
{
- J1 h& x+ r: e for(int i=0;i<n;i++)delete[]a;* t7 }8 Z8 m: s5 r/ j, G
delete[]a;; D3 ?, L& _) V+ h: a
}
: X2 X& y' b! A D0 m0 H V ttemplate<class T>
5 D+ V/ h1 V. Nbool MGraph<T>::Exist(int u,int v)const
" \% v8 l; n% ^1 l, o{
: p* b. D1 J. l if(u<0||v<0||u>n-1||v>n-1||u==v||a[v]==NoEdge)return false;5 q+ F4 I+ i; G2 i- N5 }- V) h
return true;* t# i7 A8 _% Z/ B) U* e
}
; q7 s0 v3 L7 E/ A0 s5 \" ktemplate<class T>
: G% J" Q5 n6 Z, j- U3 Fbool MGraph<T>::Add(int u,int v,const T& w)
K: V- S- ~. p0 ?% k) B{" @- O! b8 j5 P. ~- o! Y
if(u<0||v<0||u>n-1||v>n-1||u==v||a[v]!=NoEdge){
2 [$ @" o7 B: v$ h cerr<<"BadInput!"<<endl;. W$ @2 v4 m# M5 q0 z' j( w
return false;
- ]# L8 K7 C. @! J }
' ~. G# {7 d0 P$ A. q E( Q( e$ P a[v]=w;
6 o$ n% }% Z- |: h8 i* u: G e++;
4 [% X3 C# _7 R+ c! _ \" \* c: \5 z return true;
/ v. e( e- y1 Q$ G7 ~ ~; C9 ^' s# l} M; z+ J' F' ?# q. A. _
template<class T>4 L" E! J F: H' y. W" q
bool MGraph<T>:delete(int u,int v)
1 v! z! b7 W$ z. F5 \4 E{
8 F9 a! p" }2 z2 u; a1 X if(u<0||v<0||u>n-1||v>n-1||u==v||a[v]==NoEdge){4 ]2 {# E* L* n: r `
cerr<<"BadInput!"<<endl;
4 a$ f4 |) ?8 R$ j6 x return false;# m# u, J* D2 _9 R5 ?" S. \
}1 l! f5 r" k) M
a[v]=NoEdge;0 ^4 u- @. @+ m: | D
e--;. `) C0 m3 P: p" w
return true;; U( E" W6 T) y/ |
}1 J: q/ Y5 n$ s1 R$ F. h9 d
template<class T>4 ?2 c% w3 `) C# e
void MGraph<T>::Floyd(T**& d,int**& path)
, J% z/ X4 _9 N& w; h" u7 M) h9 ]{
, V4 A9 B J. O3 T% S d=new T* [n];
. r; ~+ i7 @. Y# a; ` path=new int* [n];! O7 }5 u. R! o; B/ ^: j
for(int i=0;i<n;i++){
' I9 B6 B% P& ~5 ~) d% W/ [ d=new T[n];
z, ]) J1 n- A+ f! \6 D$ T4 ?8 e path=new int[n];
7 ~9 r# g# m& `: w6 T for(int j=0;j<n;j++){/ M& B9 _) k& l& U1 H
d[j]=a[j];( i. P" X* f' z& H0 r/ Y! ?
if(i!=j&&a[j]<NoEdge)path[j]=i;
& T7 r) l- E3 | else path[j]=-1;
- @# a& e( I: X6 z* f* Z }; J3 n$ Q, O! H/ O7 G0 |$ d
}! a/ z% S5 |( j+ ?3 H! S& C; |; r% r
for(int k=0;k<n;k++){
4 N& i9 j7 _; ]# W5 Y% f% y' F" Y for(i=0;i<n;i++)- M C9 h" `' q$ p' |
for(int j=0;j<n;j++)
: C+ F! {& s7 T1 F6 m if(d[k]+d[k][j]<d[j]){ p: W$ T, U) [% ~1 L: j5 r. [
d[j]=d[k]+d[k][j];; T7 b- S* F0 y0 R' w
path[j]=path[k][j];- F% w' w* [1 v& T+ _) ^
}( r- ]; W5 y5 }; o
} h! x+ i4 b' y' n( }
}( r6 T& U3 c6 ?3 ?! S; b1 B
template<class T>
7 R* K) ~# F7 s+ E2 S$ @, {) B5 jvoid MGraph<T>::print(int Vertices)% Q' v/ O0 v, S1 C0 X. I
{
) L+ L3 f1 Z' ^* Y" D for(int i=0;i<Vertices;i++)
) B9 L5 s# @# X$ p4 T for(int j=0;j<Vertices;j++)
( N% e8 c" f/ I {
0 x2 M% P3 z* `0 i- X" i/ L1 N% @ % M* M P7 t- [' _5 j$ M3 H
cout<<a[j]<<' ';if(j==Vertices-1)cout<<endl;
7 Z9 N" s( s1 O1 y8 Y# [ }; @ U2 P' j0 B0 { _2 O3 Q% V
}& Z9 \+ X. k" R) H6 H8 B3 A
#define noEdge 10000$ A7 O8 Z! y7 k3 {8 O, f
#include<iostream.h>% N3 l7 W* O3 R! n2 h
void main()
3 P c% P6 P$ `. [{& d, U: ?* V5 {0 d) X: {" F( q
cout<<"请输入该图的节点数:"<<endl;
, Y& X3 ?+ z, b0 Q; Z int vertices;6 R3 Y) c$ b8 b: \. z
cin>>vertices;/ N% J3 S, e3 m0 m7 G3 V, C
MGraph<float> b(vertices,noEdge);
0 b( a: [- }+ Z; Q1 j1 a7 G cout<<"请输入u,v,w:"<<endl;
1 D: f B5 u2 H5 R& m' k int u,v;9 R* ^. W" j8 ?& k3 J$ G0 e
float w;
) |, u( Z2 Q0 ^- C3 \+ g cin>>u>>v>>w;) A3 B! M* Y0 ~+ u& n4 A
while(w!=noEdge){
: j+ ~; ?+ N2 Q //u=u-1;1 k, h. z( ?" \+ U& {& k7 m0 \
b.Add(u-1,v-1,w); [9 ~0 A9 U5 N
b.Add(v-1,u-1,w);
5 C& X) h, ~* G* R cout<<"请输入u,v,w:"<<endl;
- _$ l7 M8 F$ X7 m cin>>u>>v>>w;
, H! o" p9 s3 a V( L, C }
1 m+ @+ V3 B9 s2 ~ b.print(vertices);
' k% _6 J; J b8 a. M2 `. S int** Path;
5 w& v1 q# D3 s4 X0 @ int**& path=Path;
; a* o0 U# _ {) T$ x float** D;: U7 J5 R6 X+ G& @$ ]# \; x: {
float**& d=D;
4 K! u+ Q6 z0 @1 U2 M- C7 H b.Floyd(d,path);7 R9 a) _+ I2 Y% J
for(int i=0;i<vertices;i++){0 C: ?) `+ X3 `: p; S" M. {2 ~
for(int j=0;j<vertices;j++){( B: s+ e! B0 N6 d, x! j
cout<< ath[j]<<' ';
! f. ^# O, x7 U/ ^+ o- i if(j==vertices-1)cout<<endl;
+ I; K4 o# t: e, G; K0 c4 {7 f }
, n Y0 j, e3 R0 T: `% w }
( Y C3 F d0 q# e int *V;
4 i4 ~3 ? h9 ^$ r1 Q V=new int[vertices+1];
9 S& z* g# \. i5 I+ T# E1 j cout<<"请输入任意一个初始H-圈:"<<endl;; Y" v0 B+ D& i8 x; K1 F
for(int n=0;n<=vertices;n++){9 ]5 T! d2 b& I' |
$ [4 c8 _- r9 {: c1 k* j6 }8 {
cin>>V[n];) V$ t& r) b( u" r$ [2 b
}8 i& W$ _) V1 C" `
for(n=0;n<55;n++){
b m3 B+ s: [3 s5 q l for(i=0;i<n-1;i++){
/ M" ^0 I- y7 C5 l for(int j=0;j<n-1;j++): Y3 A- A- R8 F$ a% V( h: a
{
3 z" B* ]3 L* ]8 }1 R if(i+1>0&&j>i+1&&j<n-1){
1 D: D0 o0 q0 \# g$ A if(D[V][V[j]]+D[V[i+1]][V[j+1]]<D[V][V[i+1]]+D[V[j]][V[j+1]]){: {3 I+ Q; p- a5 d5 }" F
int l;! q3 g( c' Z: G% k, Y( ?9 m. v- K
l=V[i+1];V[i+1]=V[j];V[j]=l;
$ D- m0 o; N3 l5 R+ L# O }
( q& V# G, t$ G& i% g( `. s }: a2 U' q5 b6 l1 e5 g9 B' x; n
}
: B) q- a- T. L- y/ Z }0 I& U2 Z2 o5 y0 L6 F% @
}* c/ V) R+ K- L+ j7 l2 X
float total=0;
* t, L, i7 d% M5 O cout<<"最小回路:"<<endl;
/ E6 F2 ^ J7 d for(i=0;i<=vertices;i++){5 N' O7 b: z/ O
0 X# U+ e1 @3 u- W U7 C cout<<V+1<<' '; E2 I* y5 F: q
}5 C) W* a, f$ J6 I3 D2 h8 o" s
cout<<endl;0 }" V& C% E+ `5 L) b1 c
for(i=0;i<vertices;i++) `# d" a; C+ ~. y) E& T) W
total+=D[V][V[i+1]];
1 ~1 \4 X* @2 P$ [" V& S cout<<"最短路径长度:"<<endl;
6 ]4 w& O# s3 k& y6 q, q: k! x cout<<total;
8 S/ t7 P7 h8 h2 C5 E9 s} </P></DIV>3 H( }! `0 T: \9 H7 X
< >C语言程序:</P># a7 J. N y8 V" v& O0 w
<DIV class=HtmlCode>
4 l9 _5 d4 e( |1 L6 V& n< >#include<stdio.h>, _9 u( w' a! ]
#include<stdlib.h>
5 ^4 {. q$ O, K7 N: k#include<math.h>
/ t; [' p$ @" f. j0 c/ R#include<alloc.h>
8 R/ c W8 ^; ~' w k#include<conio.h>
' C1 J2 p% z5 R#include<float.h>- z, M* M) B) c+ v
#include<time.h>9 J: H- K; E* i+ z6 s8 u+ @
#include<graphics.h>
$ [( L+ v3 p/ M# S; k) F#include<bios.h></P>8 ]- K* F5 N/ g4 p0 V n
< >#define maxpop 100- d* b/ O5 c# q
#define maxstring 100</P>/ {) L- p* x" l7 G5 [; k
< >
7 j: q* ~0 n) y3 r& a: T, M& vstruct pp{unsigned char chrom[maxstring];
3 i* ?1 o) F- @2 J/ }9 n6 }8 f float x,fitness;
% e5 j5 N% y2 s4 [ g7 X unsigned int parent1,parent2,xsite;
. {) o" Q" z1 L9 x" P };) f4 Y# d! Z/ c+ m
struct pp *oldpop,*newpop,*p1;
( N6 O' S3 h8 x6 l6 j5 Q$ L6 F/ qunsigned int popsize,lchrom,gem,maxgen,co_min,jrand;5 B' F" b! \2 V e6 u W2 r
unsigned int nmutation,ncross,jcross,maxpp,minpp,maxxy;
' V5 u( e( x) X$ e$ p" Z) nfloat pcross,pmutation,sumfitness,avg,max,min,seed,maxold,oldrand[maxstring];2 P2 @' f% [2 l7 Y4 Z! R$ u9 ]3 D
unsigned char x[maxstring],y[maxstring];$ ?$ c5 s3 ]& i3 B
float *dd,ff,maxdd,refpd,fm[201];8 H/ [- }, g- q* Y4 [
FILE *fp,*fp1;
/ B. _7 H3 _4 `$ wfloat objfunc(float);
2 a1 O5 Q! j0 f* K& F3 B2 evoid statistics();
5 q" C, A/ l# O. F) ]int select();! A# p N1 _4 S
int flip(float);4 Y9 \% P" r# q) N7 s
int crossover();
9 L$ H' L$ i% c/ I D# Hvoid generation();
I2 p# A1 F% O4 `void initialize();
5 y, m6 l" f1 O0 |: W+ fvoid report();
' Q% ~. D9 t# C2 m+ a% d' i w& Jfloat decode();& [ K5 h. x1 v
void crtinit();
; M! D# N6 @1 G) lvoid inversion();
] e5 I" U& E: K) Xfloat random1();
5 r c8 q* E! }, ~/ |1 B% Xvoid randomize1();</P>
6 Y4 T! j( t4 ]; O; U* M& [< >main()$ K, n. ^0 f: _$ K2 ?
{unsigned int gen,k,j,tt;
3 V& C) x# c# }# {5 y$ nchar fname[10];' M" g2 J0 x! L& V& c
float ttt;
/ B5 J+ ^, R9 K# fclrscr();
6 ~" p ?$ C/ R! |& Ico_min=0;0 z: r# H8 |- I& F7 J; T4 c0 A5 t; H( ]
if((oldpop=(struct pp *)farmalloc(maxpop*sizeof(struct pp)))==NULL)2 m* x* k$ K3 l# D! l. r
{printf("memory requst fail!\n");exit(0);}. k( T2 N; N; _$ Z1 ^
if((dd=(float *)farmalloc(maxstring*maxstring*sizeof(float)))==NULL)/ f( |6 M2 D1 u( z1 S& @8 F# h
{printf("memory requst fail!\n");exit(0);}" @/ K/ U$ H8 @5 E% _7 u
if((newpop=(struct pp *)farmalloc(maxpop*sizeof(struct pp)))==NULL)
! t* P1 p2 `- Q' C3 D$ E {printf("memory requst fail!\n");exit(0);}
5 Y7 L9 ]% r7 cif((p1=(struct pp *)farmalloc(sizeof(struct pp)))==NULL)
+ b! D. K6 F. m! z" o) P {printf("memory requst fail!\n");exit(0);}1 N* m2 B" o9 t; J& P
for(k=0;k<maxpop;k++) oldpop[k].chrom[0]='\0';
$ O* ]: K- y2 o1 Y/ S: d0 rfor(k=0;k<maxpop;k++) newpop[k].chrom[0]='\0';1 V+ D7 x) d, Z! ~
printf("Enter Result Data Filename:");
! C& V3 {8 Y3 j8 lgets(fname);0 ^4 N S- W. ^, I; r; [
if((fp=fopen(fname,"w+"))==NULL)
+ Q. O" }; y8 o+ f {printf("cannot open file\n");exit(0);}</P>
" U; @# A( ^; d$ v; s< >) e& L- O) u. L- O( U t" F
gen=0;1 v# [) T4 i% K" F
randomize();
, J$ B/ n% ]# `5 G( V: r5 ainitialize();</P>
. }# E8 g0 O2 f3 j$ K0 e< >fputs("this is result of the TSP problem:",fp);
) Y& _% |$ d W! z* I1 Qfprintf(fp,"city: %2d psize: %3d Ref.TSP_path: %f\n",lchrom,popsize,refpd);
! S* J1 s! Z& d' K1 cfprintf(fp," c: %f Pm: %f Seed: %f\n",pcross,pmutation,seed);, N! |( ^" n' l4 d- V2 z
fprintf(fp,"X site:\n");! ]7 e( Z" z+ Y# N0 y/ K4 ~
for(k=0;k<lchrom;k++)$ p3 e% ]5 }4 \9 [1 B( R
{if((k%16)==0) fprintf(fp,"\n");6 l k1 q9 f0 l' x$ n
fprintf(fp,"%5d",x[k]);
W0 i+ L) L! ~" A }
. w' p2 C; }! J' _fprintf(fp,"\n Y site:\n");. p& T6 a1 [4 d% h! Q% s; u
for(k=0;k<lchrom;k++)4 f! f3 G* c' Z+ t. O
{if((k%16)==0) fprintf(fp,"\n");# n9 `! b) L& C' B
fprintf(fp,"%5d",y[k]);
$ }' @$ ^- _; r+ A }* L0 U& s( r( D
fprintf(fp,"\n");</P>
1 n+ k( {: X- O9 a, L<P>
& U# b! M9 ~- I/ k3 g- Hcrtinit();
( x* l* B: B, W4 M' g4 g0 p+ y3 hstatistics(oldpop);
+ K, f* d) J" h4 z/ Breport(gen,oldpop);
0 x+ N; [% m Z1 N/ w; m- I- ogetch();5 P9 q0 d9 g' L4 P
maxold=min;- @+ D5 m7 P1 x" \# P9 R
fm[0]=100.0*oldpop[maxpp].x/ff;
+ p; L* Z& E6 ]( Z, J8 n6 Mdo {
7 j8 \+ K. v4 I9 p gen=gen+1;
A7 K& s; V( `. H7 @6 L9 I generation();
5 S3 j, O& {" u statistics(oldpop);
# X' f. \( Z7 ]! Z if(max>maxold)
; s0 P, e( m/ K$ [4 L1 l( Z! ^ {maxold=max;
2 k$ j3 @2 b1 y1 g0 P/ q9 V- }- Uco_min=0;
! ]: i; s; o% T8 G }
2 ^1 f" [5 T9 v" e/ |5 r fm[gen%200]=100.0*oldpop[maxpp].x/ff;
1 Q. r; c: J+ U: g( ~& C7 w5 J report(gen,oldpop);3 Q* l! |7 G4 T7 x! s
gotoxy(30,25);
: J4 {( [( A" b3 a ttt=clock()/18.2;0 Q" q0 s) h1 b% _
tt=ttt/60;
/ h- ]2 h4 g& `( I; x printf("Run Clock: %2d: %2d: %4.2f",tt/60,tt%60,ttt-tt*60.0);, `- }" B1 n2 j5 ~$ A
printf("Min=%6.4f Nm:%d\n",min,co_min);
6 h n) J0 C' z9 e2 R3 f5 ^2 k, l0 r }while((gen<100)&&!bioskey(1));* g% o, @6 A6 s& v& V
printf("\n gen= %d",gen);
. z+ t; T7 r5 \" }7 \; ]( i: ddo{' m0 E! w7 s9 _! J A2 m/ ^
gen=gen+1;
$ V& H0 ?& e; B generation();
$ ?# w- Y7 W, Z6 \1 G statistics(oldpop);" _, q% E3 j3 G* Q+ F8 P& z
if(max>maxold)
5 x5 Q2 a' G& T {maxold=max;8 s9 B3 p- m( B% Z) N% U8 P
co_min=0;
* P+ U8 h& i0 z2 j8 U! X }
6 @1 V$ O& c# ?3 T. B" L fm[gen%200]=100.0*oldpop[maxpp].x/ff;& S* a+ O: r, y7 J8 T
report(gen,oldpop);
5 {, l4 i6 W3 v if((gen%100)==0)report(gen,oldpop);5 b/ k3 I/ G' r5 k
gotoxy(30,25);0 p- C7 a3 c: O. I2 ^" _- R
ttt=clock()/18.2;! a& V, E# ~0 b; a: k: [
tt=ttt/60;( G; r; R3 I; _0 |% U
printf("Run Clock: %2d: %2d: %4.2f",tt/60,tt%60,ttt-tt*60.0);5 S; ?9 {0 n2 d9 N" b
printf("Min=%6.4f Nm:%d\n",min,co_min);+ p9 g" j8 Q1 o, `& t
}while((gen<maxgen)&&!bioskey(1));</P>
" `7 G% x6 Q- G4 M- d<P>getch();
# w$ ^/ A# S9 H$ Dfor(k=0;k<lchrom;k++)7 [7 ?# Z! D% ^ ?
{if((k%16)==0)fprintf(fp,"\n"); \; y V- W B: b& B
fprintf(fp,"%5d",oldpop[maxpp].chrom[k]);2 Z, z1 w! O- D
}
: c) \$ A0 S( |. _# I! G/ f1 wfprintf(fp,"\n");</P>
/ O& o- H0 f( b4 t7 G% s' B<P>fclose(fp);
5 U0 P: K0 P, B2 ]0 {0 q1 Tfarfree(dd);1 R' x9 k- D' H4 J0 @9 r" ~8 i& y6 q
farfree(p1);
' c; F! v! }; l! [( {4 a) rfarfree(oldpop);
( o$ M- q; W# k1 i- y: C) X! Bfarfree(newpop);) |& A/ M/ j8 o2 n/ g, O) i
restorecrtmode();
8 v* n6 s+ ~; oexit(0);
- c4 Z) t( c L( K% c+ [, i- h}</P>
) ~( ~3 I1 X4 I! q$ j. q<P>/*%%%%%%%%%%%%%%%%*/</P>1 a- C# V1 z6 @/ n! c( l9 D
<P>float objfunc(float x1)
3 J, w! ^% h0 w! e5 Y0 T{float y;
0 M: H9 p4 W2 N) m H: N/ y y=100.0*ff/x1;( K- B6 o; k; l+ I1 n4 N/ ^
return y;' v+ ~2 |1 R& K! T) G
}</P>2 N; e& q4 x; \. U; X- G1 n
<P>/*&&&&&&&&&&&&&&&&&&&*/</P> L, ^) M7 _) W" O* N3 V
<P>void statistics(pop)& S4 H% ?2 O% i7 y& S
struct pp *pop;* H* m+ ^* T# Q! z
{int j;" O' |2 i# A" N: A
sumfitness=pop[0].fitness;) F! h0 v3 m' n" p: }& ~0 r. [% Y
min=pop[0].fitness;9 F7 j! o, _/ v O3 n' }
max=pop[0].fitness;1 ~9 C2 s: Q; n1 U" E
maxpp=0;$ q9 Z' J" S" _, n5 Q9 o: a
minpp=0;
5 @; \. y5 q7 i, h9 Zfor(j=1;j<popsize;j++)8 x# P) q) c9 O& E' H# U
{sumfitness=sumfitness+pop[j].fitness;
2 M! p. n, d A6 u, d3 ?/ i if(pop[j].fitness>max)
( G$ x1 j2 ~2 o! O5 Q( e. l( [{max=pop[j].fitness;2 T, p% i% }) I0 A- U
maxpp=j;* ^, Z! Z; V5 W, |1 U# ~
}; K: H% f* H; C, B' A
if(pop[j].fitness<min)
& z, S* `2 q! c. b6 X- V9 ~{min=pop[j].fitness;! Z2 I# X& \( R+ ?7 [7 p
minpp=j;
0 H) Y, C9 Q+ I8 j}$ ]/ a7 L2 L V! ~; R7 \0 W$ V$ N
}</P>1 ?7 a) i! O( \/ x% f' K. Y6 b
<P>avg=sumfitness/(float)popsize;
9 G# S5 J9 V" j4 X+ s8 \# H}</P>
' z. i& V0 z3 J4 Y; _7 P$ W) ]3 X, c<P>/*%%%%%%%%%%%%%%%%%%%%*/</P>
6 h& ]' C: {* v. N' I3 r3 f+ S& L0 J<P>void generation()
6 V" s: q8 V& S, Z/ N( w9 x, f' B{unsigned int k,j,j1,j2,i1,i2,mate1,mate2;
' E, z7 V! m, L0 jfloat f1,f2;
9 N; f1 c, ]0 [* [j=0;9 ~+ q% J4 t+ t) L: K. V7 k
do{' g1 v' t+ o/ S+ p: u* _3 x
mate1=select();
4 i1 w) Z* r* A0 L7 T pp:mate2=select();* O" Y& W: T3 R, {+ i# f, V* [
if(mate1==mate2)goto pp;: S; i. X& ], c. g
crossover(oldpop[mate1].chrom,oldpop[mate2].chrom,j);# R( C7 z& B* g! A* a( o8 s2 A
newpop[j].x=(float)decode(newpop[j].chrom);! c& u% y. m7 W& S3 s ?
newpop[j].fitness=objfunc(newpop[j].x);
2 r8 ]7 Y& y5 T5 z newpop[j].parent1=mate1;* g/ d4 ^" v6 w) d& V' A) {
newpop[j].parent2=mate2;
5 f' y! z5 X: r; ] newpop[j].xsite=jcross;& j$ t% k5 I/ x A1 \
newpop[j+1].x=(float)decode(newpop[j+1].chrom);
$ v8 s9 L! R6 B4 o Y1 C: L newpop[j+1].fitness=objfunc(newpop[j+1].x);
; t( t* i, m9 l$ r$ s newpop[j+1].parent1=mate1;
$ d0 ?/ M: `4 N% T5 q8 W( L8 H* \ newpop[j+1].parent2=mate2;, Y/ \( b( P! B9 f" q: h9 T
newpop[j+1].xsite=jcross;
P# s. x5 E* t if(newpop[j].fitness>min)9 D5 T6 i7 h6 N; H: w4 t8 t
{for(k=0;k<lchrom;k++)1 l( c5 s8 H! h8 ~0 k9 c. K
oldpop[minpp].chrom[k]=newpop[j].chrom[k];
/ v& M- R3 i+ x7 I oldpop[minpp].x=newpop[j].x;* o/ O8 N; y' a: U7 ]
oldpop[minpp].fitness=newpop[j].fitness;
- Y) n" x7 S! |# Y( ^( B co_min++;
0 t5 j/ @4 p! g' f$ }" ~8 N% | return;: l5 Q' J- B- }
}</P>
6 p; v _ Y1 `1 ]( a& V, U<P> if(newpop[j+1].fitness>min)/ Q7 C5 C" h! n3 B3 L8 ^
{for(k=0;k<lchrom;k++)
6 _3 M- F* V: z: Z9 u oldpop[minpp].chrom[k]=newpop[j+1].chrom[k];
* I' \) J$ a: X/ F* k" K) `7 a9 H oldpop[minpp].x=newpop[j+1].x;
7 o: H6 d. E0 J% M oldpop[minpp].fitness=newpop[j+1].fitness;
; w2 e5 ^/ C( N2 u- N+ q, Q- t& e8 m co_min++;
" r# {; d6 o' r/ P: X: @ return;/ P2 `3 K# W, k2 i
}
$ m y ?: q8 B* q j=j+2;3 A- ?6 w6 f& W! T
}while(j<popsize); E; I% U, F# V4 t" [- A4 ^
}</P>
7 f) d3 M8 f8 s ^1 L; Y<P>/*%%%%%%%%%%%%%%%%%*/</P>
/ y/ E g% C5 c8 z& ^+ `, f; D<P>void initdata()3 T+ t8 G- L9 N: r& f& d6 K
{unsigned int ch,j;
' ^1 b7 d' ?) w7 S( _* ?2 q! {clrscr();0 g8 [/ @" R% }, _
printf("-----------------------\n");4 J0 Q& ]' e3 l( S; ~
printf("A SGA\n");- q: b5 U* I7 o
printf("------------------------\n");) b2 k- t) J3 j' C6 M/ }# o- t
/*pause();*/clrscr();1 l$ O3 s& x2 l5 O/ V4 Q3 U
printf("*******SGA DATA ENTRY AND INITILIZATION *******\n");8 {2 J. |9 N# [! p1 ]0 q# I+ j1 A
printf("\n");
2 Z e( i, `2 K# aprintf("input pop size");scanf("%d",&popsize);
s5 C" w7 d8 i9 w d# M" m, o% @printf("input chrom length");scanf("%d",&lchrom);8 f5 I' [; ~: w# _# g% O! p/ E* T( O4 Q
printf("input max generations");scanf("%d",&maxgen);
+ x* g, u3 c. L: U8 J: |printf("input crossover probability");scanf("%f",&pcross);
- ?6 [! y- R! q9 Gprintf("input mutation prob");scanf("%f",&pmutation);
& S3 m. R8 `! Y0 z: \randomize1();
* O$ q' a+ y* t3 J( U- Wclrscr();
' {, W5 Z3 d5 C$ m& T& Qnmutation=0;
1 p$ `" e" V* i) kncross=0;+ E" i' f9 F+ h" L2 w* K
}</P>* t$ j0 G( y! U9 C3 M% o
<P>/*%%%%%%%%%%%%%%%%%%%%*/</P>' X. C. M# f4 R5 o- N
<P>void initreport()
6 C9 o; M+ L& h) O{int j,k;: _5 b' t1 t' A! x; \
printf("pop size=%d\n",popsize);
) }+ Z& g; {4 Q. b' V2 lprintf("chromosome length=%d\n",lchrom);
6 y2 E" h+ Z3 h; x6 V: x4 Cprintf("maxgen=%d\n",maxgen);
: v" _* _; t/ v& d0 ~printf("pmutation=%f\n",pmutation);
1 A. i. R, @/ s9 H7 O( |printf("pcross=%f\n",pcross);$ B5 M7 d. n) k1 T( y$ u) [. Y
printf("initial generation statistics\n");1 ]8 o: ]9 S4 e
printf("ini pop max fitness=%f\n",max);
; M4 i0 V b/ L5 vprintf("ini pop avr fitness=%f\n",avg);& T; e; p5 i4 V+ V+ a! I
printf("ini pop min fitness=%f\n",min);
. g+ s G, ?0 W$ kprintf("ini pop sum fit=%f\n",sumfitness);. D" p( i B: H7 V6 G9 W4 W- i* |
}</P>
; R5 V# f5 n! m7 Q; E2 o! I<P>
( b, f- ?1 {$ D/ y$ hvoid initpop()
% l+ l+ ?3 u% p{unsigned char j1;7 V8 K) S7 P" {" p
unsigned int k5,i1,i2,j,i,k,j2,j3,j4,p5[maxstring];
& o7 z# o# o( }3 E7 H. w! d4 Kfloat f1,f2;, o" C7 M" l, {
j=0;3 O. M) d; p# c& u( {* E
for(k=0;k<lchrom;k++)
7 i: b7 Z0 w/ [4 U9 I n oldpop[j].chrom[k]=k;/ q9 r* \5 `9 U/ `* v
for(k=0;k<lchrom;k++)- j+ t( U( u6 j! e; v) ]
p5[k]=oldpop[j].chrom[k];
- S& U% q" z6 c) l9 prandomize();% g6 k/ g' H$ x% n8 h6 p
for(;j<popsize;j++)
' i6 ]* X7 [# u5 U {j2=random(lchrom);
o9 S2 {3 O+ @" D$ {. W for(k=0;k<j2+20;k++)
- u# w& A& {9 v' t9 }; D3 E; f {j3=random(lchrom);
; f8 ^% {" i; Y' M j4=random(lchrom);
: ^6 b- Q4 v: R2 A j1=p5[j3];, i% l* R. w7 r2 i; x9 J6 P; x
p5[j3]=p5[j4];: C0 I1 v0 ~: P( w4 V" s1 t
p5[j4]=j1;
' F* k7 E) s- G% D! A5 n }- H3 R4 {8 b- w5 @$ A
for(k=0;k<lchrom;k++)
9 Z x9 ]/ b/ G oldpop[j].chrom[k]=p5[k];
7 j: W, i& w. u* C. V4 r( ^ }
" k4 k' t9 v6 p: s( i. l n for(k=0;k<lchrom;k++)
1 ?4 P/ ] H; c5 l Q3 a for(j=0;j<lchrom;j++)
" K4 J* E! H2 U8 x dd[k*lchrom+j]=hypot(x[k]-x[j],y[k]-y[j]);
9 T4 {# U4 D: | for(j=0;j<popsize;j++)
( P( O/ s! z. r# s) X {oldpop[j].x=(float)decode(oldpop[j].chrom);) h. D! E2 _% }- D0 H
oldpop[j].fitness=objfunc(oldpop[j].x);' I+ t) }2 {, l" b: K
oldpop[j].parent1=0;( |) K0 `9 K4 g S5 w$ C8 b% y
oldpop[j].parent2=0;- k7 N1 ] Z% r, k# `' ^
oldpop[j].xsite=0;: D2 u* E+ E2 D
}4 a7 z, g. j0 U9 s9 s( T$ A" f
}</P>
h' c; o" Z; j$ {" I, }<P>/*&&&&&&&&&&&&&&&&&*/" E; }5 a2 w. @0 M v2 [3 G
void initialize()1 N+ f3 U* T9 l1 i2 x. D4 b" R9 O
{int k,j,minx,miny,maxx,maxy;6 [' b6 V# t( `* n
initdata();
7 U% ^' T& p4 C5 S. A$ Pminx=0; [4 u y9 Q0 G: b4 m& |
miny=0;0 P0 O A. V+ {, I+ r0 P2 b0 A% j( C V
maxx=0;maxy=0;% k5 b: \0 j. ?7 y
for(k=0;k<lchrom;k++)7 H8 b" \# e* ~' i1 p: m9 a
{x[k]=rand();
8 ` J Y; q; @, |; o if(x[k]>maxx)maxx=x[k];
. L# v! |2 Y7 Q q, V( v# Z if(x[k]<minx)minx=x[k];
3 y3 I; i! w2 ~, E* { y[k]=rand();+ n& M1 k$ I+ c0 b: i
if(y[k]>maxy)maxy=y[k];% Z; N/ N$ h' O4 R% O- \ f
if(y[k]<miny)miny=y[k];
+ ` k4 F C- x N }
( q% f7 x, l+ q- Xif((maxx-minx)>(maxy-miny))& u) O& z+ I y. F
{maxxy=maxx-minx;}
. g& `7 t7 D$ H! E else {maxxy=maxy-miny;}
$ W9 @9 I m( V* S8 v' ]6 @maxdd=0.0;4 }6 ^) ~+ F: u* h! q
for(k=0;k<lchrom;k++)) ^" i: A7 R# B
for(j=0;j<lchrom;j++)
& s: x# o# g4 l' R2 y$ `2 U5 |7 d {dd[k*lchrom+j]=hypot(x[k]-x[j],y[k]-y[j]);
; ~ n, i9 e9 K, b& ^ if(maxdd<dd[k*lchrom+j])maxdd=dd[k*lchrom+j];
5 W( s# D' c4 E0 N }" t7 T. ]$ z1 V9 \' |3 r3 C2 ?. y/ A
refpd=dd[lchrom-1];( X! T5 x7 b. [: n
for(k=0;k<lchrom;k++)
, ^1 h: [$ U, L9 J7 R* O& p: T refpd=refpd+dd[k*lchrom+k+2];- o1 u. H5 D; b, c: m
for(j=0;j<lchrom;j++)
; R! ~4 F0 w9 r* r# i dd[j*lchrom+j]=4.0*maxdd;
+ G' t- N5 W5 v1 e, rff=(0.765*maxxy*pow(lchrom,0.5));
0 W# S3 W9 p8 l( v9 G( rminpp=0;: i* U, _0 `0 k9 W! k) H
min=dd[lchrom-1];! l3 |& n" l3 h$ _1 \! [* R
for(j=0;j<lchrom-1;j++)
6 O) i, c$ v3 S4 i1 \ {if(dd[lchrom*j+lchrom-1]<min)4 |! s1 k4 H5 _4 i3 }& X
{min=dd[lchrom*j+lchrom-1];9 V, [! i) F& F7 h
minpp=j;! R# ~8 w" K3 Q U' P
}( _7 x% ? ]5 X6 I
}6 p% y8 m' T7 Z$ ]# R
initpop();
" D& o d! h3 L+ O) U8 t3 ` zstatistics(oldpop);9 r! @8 s% ^' h/ U1 w4 T
initreport();
' p1 x" t& o8 ~- \- M. d* X! L}</P>: l2 _9 ]$ ~6 Q( {' L
<P>/*&&&&&&&&&&&&&&&&&&*/</P>/ u# G. O; q# y& Z- A8 e- A( m
<P>void report(int l,struct pp *pop) U) ?$ [- ^/ w2 c- D4 q
{int k,ix,iy,jx,jy;
- y! \, O$ p/ o" X5 e$ Iunsigned int tt;: p" M& y" f- P5 i, W
float ttt;/ B @. D5 n0 {! B' x
cleardevice();
9 P5 f: a* x) i- Zgotoxy(1,1);% x: |+ i/ ~, Z. Q! g3 m. z
printf("city:%4d para_size:%4d maxgen:%4d ref_tour:%f\n"
1 b& H. O I. q6 q& Z1 K- [ m) ` ,lchrom,popsize,maxgen,refpd);# G& `+ x+ V6 z+ b3 }$ ^2 Y
printf("ncross:%4d Nmutation:%4d Rungen:%4d AVG=%8.4f MIN=%8.4f\n\n"
5 E5 A9 \6 f9 \ ,ncross,nmutation,l,avg,min);1 W) C0 H& h& q
printf("Ref.cominpath:%6.4f Minpath length:%10.4f Ref_co_tour:%f\n"
+ l4 ^. B; Q% L4 _ s5 \$ s ,pop[maxpp].x/maxxy,pop[maxpp].x,ff);
- `: \, V. H, ^. jprintf("Co_minpath:%6.4f Maxfit:%10.8f"0 d4 r+ B$ w5 T$ \% Z$ }
,100.0*pop[maxpp].x/ff,pop[maxpp].fitness);
. x, b$ g2 ?: Fttt=clock()/18.2;; B# q2 Q1 O+ r6 w! m* o. l D
tt=ttt/60;
4 m3 t3 N ]% i; tprintf("Run clock:%2d:%2d:%4d.2f\n",tt/60,tt%60,ttt-tt*60.0);! f- ?3 Y$ i% { J5 [4 F# m
setcolor(1%15+1);. \/ n, k, v% w% m/ h/ s4 F0 E6 J
for(k=0;k<lchrom-1;k++)2 E& f: U( y, A( u
{ix=x[pop[maxpp].chrom[k]];
# y/ f% J9 t( i7 R2 H# n# Y iy=y[pop[maxpp].chrom[k]]+110;
+ I$ Q% l" a( r7 a8 } jx=x[pop[maxpp].chrom[k+1]]; M0 W0 D- } r+ N Y& j, P
jy=y[pop[maxpp].chrom[k+1]]+110;: J: k9 U: r( ^1 T1 a1 [' l, [
line(ix,iy,jx,jy);
3 I9 D5 I2 \& U3 D r. b putpixel(ix,iy,RED);
" [0 K; e" e E- v5 Q( l0 c }
+ y' ^4 |8 N$ B* V2 P+ {. oix=x[pop[maxpp].chrom[0]];
1 }: c# s$ u1 U6 e# D' q! K& x2 Viy=y[pop[maxpp].chrom[0]]+110;
, f. u9 w, E0 Gjx=x[pop[maxpp].chrom[lchrom-1]];
1 G! I, H9 ^$ j1 s$ E% ?jy=y[pop[maxpp].chrom[lchrom-1]]+110;9 _" n$ R. S) z2 e0 j) P
line(ix,iy,jx,jy);
+ n7 h4 j( e1 {putpixel(jx,jy,RED);
% U( \7 s9 ?% u% M& G* ksetcolor(11);$ a4 _/ h3 E4 A
outtextxy(ix,iy,"*");
2 ?) ]3 M; t- p6 Tsetcolor(12);: t0 [. A8 n+ c$ c$ j0 x
for(k=0;k<1%200;k++)' F; ?1 W" C6 g/ D
{ix=k+280;6 |0 e, [! p: X; R
iy=366-fm[k]/3;
# Z8 L+ }4 N) P jx=ix+1;
' q* a: V7 P+ F* g& w jy=366-fm[k+1]/3;
0 b. I! I. p8 r; i/ F3 Y line(ix,iy,jx,jy);' \/ U. x- q1 |9 ?
putpixel(ix,iy,RED);
8 U) s$ |0 ?1 z, }/ T# t5 ^0 ~ }
# t; S4 R Q' {, D+ w0 iprintf("GEN:%3d",l);
5 Y7 E2 L1 \8 x+ ^& K' Sprintf("Minpath:%f Maxfit:%f",pop[maxpp].x,pop[maxpp].fitness);
2 t9 K1 _( M8 K* q3 _printf("Clock:%2d:%2d:%4.2f\n",tt/60,tt%60,ttt-tt*60.0);! u( {; e; e$ W1 v* j* B. V
}</P>! O' n1 g4 E* F' M4 z1 d% n1 s. c
<P>/*###############*/</P>, ^6 M! b" k8 [0 t
<P>float decode(unsigned char *pp)
* ^7 j& j# t0 d# z/ @: v: N0 ]{int j,k,l;
# k9 h3 ]2 X- z- w. J* D, m$ Efloat tt;4 T: d. X/ ^! o# i! ~/ h
tt=dd[pp[0]*lchrom+pp[lchrom-1]];
5 N' G" W8 V1 B/ w2 Q" L( ~/ }for(j=0;j<lchrom-1;j++): ]! n5 `, U2 P. ~* k/ i; Y9 G5 b
{tt=tt+dd[pp[j]*lchrom+pp[j+1]];}" P' p) a: r) v4 b- W% e3 h
l=0;6 r4 z$ H8 B( k7 l
for(k=0;k<lchrom-1;k++)8 o4 `% w* u% w; ^! W5 I
for(j=k+1;j<lchrom;j++)
! C$ q( e- Q1 `' r ^9 L1 W {if(pp[j]==pp[k])l++;}
* w6 f) R6 H! x1 D& treturn tt+4*l*maxdd;; ^. K4 x* ]! Q; F3 q
}</P>0 S5 [ g- Q4 S B: z
<P>/*%%%%%%%%%%%%%%%%%%*/
& h$ j; a4 ?# }; k1 c# W: Q) L6 Lvoid crtinit()) _' m. W+ {% m, L" \% X9 h0 {
{int driver,mode;: w+ ~& b! Q* S. {2 q, p
struct palettetype p;
+ o$ y6 Q' o Y1 z+ D6 q! odriver=DETECT;2 S; ]8 s/ T* i- B4 T3 R; c
mode=0;1 ?0 D5 A g+ t$ D! N9 n) A
initgraph(&driver,&mode,"");
9 o- B; S+ L- C7 [cleardevice();
! G) ?3 J* c4 y' \: K}</P>& T' f- p6 q6 u7 @$ q c# C0 r
<P>/*$$$$$$$$$$$$$$$$$$$$*/
6 i8 ?1 z, ~. E* kint select()
4 o/ q+ ]6 a$ q1 t4 {0 G# {{double rand1,partsum;) e4 E3 Z/ `% [1 ^
float r1;3 g# m& Z, G, G& R" S1 h0 S5 L
int j;
+ R9 |0 W6 g2 o* qpartsum=0.0;
* }9 x h0 L( k! _j=0;. x& S/ x1 n" O2 s3 x# l6 Y: A
rand1=random1()*sumfitness;
$ c! J: F0 w- c% Zdo{
, O8 g* X- t# n* `! ?7 f/ w partsum=partsum+oldpop[j].fitness;
7 P$ q& P C) H, S1 `9 r1 D j=j+1;
7 j9 ~+ p Y! s$ O( {, c+ j1 w }while((partsum<rand1)&&(j<popsize));2 v& g1 G$ v6 ^) T% A) i) P3 s8 ]
return j-1;, q4 H% {6 l! {' c8 {
}</P>
: G1 \/ C. u, e! Y<P>/*$$$$$$$$$$$$$$$*/
4 D+ L) b% d0 eint crossover(unsigned char *parent1,unsigned char *parent2,int k5)
' k0 w/ n5 u' N, m3 q3 N{int k,j,mutate,i1,i2,j5;
; m+ n' j" p* O jint j1,j2,j3,s0,s1,s2;! \. u$ U: \+ w+ G
unsigned char jj,ts1[maxstring],ts2[maxstring];, ^6 F3 c$ o8 q# E; q1 y
float f1,f2;
$ K6 c Q" l; ]5 ~, w/ }s0=0;s1=0;s2=0;3 B0 z7 x* d _( G
if(flip(pcross))
3 A. {, ^! U$ Z% ` {jcross=random(lchrom-1);
6 P2 |# T9 \$ S j5=random(lchrom-1);/ a- \: A8 C2 x4 t
ncross=ncross+1;
4 [* c' R' q1 Z/ _% \+ \; [ if(jcross>j5){k=jcross;jcross=j5;j5=k;}
- N# O8 p# d6 }$ } }
( w) u s |( @7 b else jcross=lchrom;3 r& U+ `* \- c# A+ C! u; X; O$ p
if(jcross!=lchrom)
, u4 N% d( ?5 K- F; _8 k# ` {s0=1;
9 A7 @; T2 p% K k=0;3 F$ G: X$ R; }1 S
for(j=jcross;j<j5;j++)
# C. V& {+ o% t( v1 n# f {ts1[k]=parent1[j];
4 z- `' e8 b3 v) ^4 y `2 g ts2[k]=parent2[j];% J# x0 S# L# g0 ^# O
k++;
; N! c% J, w/ B; i( `; M- J5 h }0 q( V3 T" R4 O
j3=k;
: T2 h9 v. v& ~! a* \3 |7 N for(j=0;j<lchrom;j++): X1 P6 T8 ~6 m; P
{j2=0;
" L d( c7 s- M1 Q/ W3 P! Qwhile((parent2[j]!=ts1[j2])&&(j2<k)){j2++;}
- [7 `' c8 i# |if(j2==k)( ?" T' T) f! y! c4 k9 R) ` O1 O
{ts1[j3]=parent2[j];, Q" V, W4 d. f# j3 Q7 U
j3++; h2 I; N& t6 p& B# M4 G; H
}: W' |- T9 n, A5 z
}$ v f* w: O- Q( F1 M; q1 ^; {6 P" o4 l
j3=k;
: C) v- p; B) p+ y' q) o for(j=0;j<lchrom;j++)
( n* U g4 |9 q8 a1 I4 H {j2=0;2 j" p5 L9 y+ `
while((parent1[j]!=ts2[j2])&&(j2<k)){j2++;}% O! G# A+ l1 ?; l/ c ]
if(j2==k)
; u! i) b: _3 s- k/ P0 v9 o! m9 u {ts2[j3]=parent1[j];- N# S# e2 ?& p `. ]2 q
j3++;
7 j4 M1 E* R/ Q2 Q, j }, s, r+ H1 m' Q, `
}/ G B5 n% T! b% G8 ?, p
for(j=0;j<lchrom;j++)" y9 ~" F/ Y$ i1 O
{newpop[k5].chrom[j]=ts1[j];1 M" Q9 i$ o( u1 ]$ o
newpop[k5+1].chrom[j]=ts2[j];
0 T& j8 w& F1 I9 U0 C' L } U7 l4 J8 V/ E# V
}
7 d- H) o% T3 ]* P5 melse
& Q* d, Y, w# |% d. ?; b$ e {for(j=0;j<lchrom;j++)1 U$ `# h8 I& H+ K+ }
{newpop[k5].chrom[j]=parent1[j];8 k4 s u* z4 ~( |5 X- f. X! _
newpop[k5+1].chrom[j]=parent2[j];
+ X ~" b X, Q0 ^ }0 ?" j0 V% ] k& z3 F1 t
mutate=flip(pmutation);+ w& {- o9 m- n- |* z0 ?; {7 N& e. M
if(mutate)1 T" P- a7 g* @* d6 }2 R
{s1=1;
3 p) g) v# z0 w. U nmutation=nmutation+1;3 Z2 ^' O& L+ M. _' M3 t
for(j3=0;j3<200;j3++)1 c& y. }+ H/ c
{j1=random(lchrom);9 r: R# j; {# X; O7 y! `& C
j=random(lchrom);' ~; m+ V/ E. Q- M9 `5 w" K5 Q
jj=newpop[k5].chrom[j];
0 \3 a. N; d- ]* G) Y+ a* H newpop[k5].chrom[j]=newpop[k5].chrom[j1];
$ v% K: _1 V5 ~$ ` newpop[k5].chrom[j1]=jj;, o& T( @- X4 H2 T& V8 K
}8 D, o2 V6 k1 H1 W$ U3 _
}
; L% q& A' K$ _. m$ V+ B( ~ mutate=flip(pmutation);, W' I. o6 Z) Y/ Y# c4 q! ^% S
if(mutate)0 ~% t3 U; W$ j- @$ y/ f
{s2=1;
; n" ?5 T; |2 u4 g% Q6 | nmutation=nmutation+1;4 K) s6 f" \) N5 ~
for(j3=0;j3<100;j3++)
- L9 [! [8 ` ]' J) [ {j1=random(lchrom);- z+ u# A$ X7 V$ i1 G, V% d/ g
j=random(lchrom);4 D4 y m5 Y" \) u* ]" W
jj=newpop[k5+1].chrom[j];
# R& }$ M5 Z0 Y1 g) A newpop[k5+1].chrom[j]=newpop[k5+1].chrom[j1];
A1 r- x, Q2 w9 x7 j( D. y newpop[k5+1].chrom[j1]=jj;" S* ^1 s3 S; x' u
}
O4 y l" D+ L; B/ \$ C }4 I) l$ S. e, Q1 v) T2 ~. x: T
}
; w6 [% Z0 K5 T" @- Z1 |3 h j2=random(2*lchrom/3);3 t* l) ^# t+ E3 b$ }
for(j=j2;j<j2+lchrom/3-1;j++); @; S* Z* V: ` z$ e7 V
for(k=0;k<lchrom;k++); `5 t% `% v5 L/ t* ?0 b. U; _
{if(k==j)continue;& N3 c/ N7 {. `9 L3 Y
if(k>j){i2=k;i1=j;}$ M, N% b2 K- A( [3 e% o% i' s" t
else{i1=k;i2=j;}
) f+ y- Y$ e5 v7 E' M4 `( Af1=dd[lchrom*newpop[k5].chrom[i1]+newpop[k5].chrom[i2]];) t8 t9 y* K2 [
f1=f1+dd[lchrom*newpop[k5].chrom[(i1+1)%lchrom]+
* x4 h5 t9 G6 f8 ], z newpop[k5].chrom[(i2+1)%lchrom]];
; _ a9 T& G. I( T# Nf2=dd[lchrom*newpop[k5].chrom[i1]+
; ]0 Q; v4 z' v/ Y( n) K, |. i newpop[k5].chrom[(i1+1)%lchrom]];5 E* \* S! a+ n( J$ u
f2=f2+dd[lchrom*newpop[k5].chrom[i2]+3 W H4 G# Z8 l" s$ g# U
newpop[k5].chrom[(i2+1)%lchrom]];
# K& C3 G' I c: \1 s; [8 ?if(f1<f2){inversion(i1,i2,newpop[k5].chrom);}; ? R/ l! y. u2 ~" H5 y
}" ]0 ~7 p0 D) c/ ?! j
j2=random(2*lchrom/3);
# R) v0 }! X+ V8 o for(j=j2;j<j2+lchrom/3-1;j++)
: ]7 B/ K8 R/ ~* W+ I9 B' g for(k=0;k<lchrom;k++)
# l' ?4 ^7 m; G0 q' P/ ^! ^3 r {if(k==j)continue;
% A, H! L% ]: u Kif(k>j){i2=k;i1=j;}
% c5 G) Z: p( b& l7 P. d) v2 o else{i1=k;i2=j;}8 M+ b" b2 {- ?* Y) i
f1=dd[lchrom*newpop[k5+1].chrom[i1]+newpop[k5+1].chrom[i2]];1 O" {: O- N/ K
f1=f1+dd[lchrom*newpop[k5+1].chrom[(i1+1)%lchrom]+
* T9 b( L8 | N6 [ newpop[k5+1].chrom[(i2+1)%lchrom]];, P- \) z; b; T
f2=dd[lchrom*newpop[k5+1].chrom[i1]+4 k0 |4 T+ L! U# ?6 r
newpop[k5+1].chrom[(i1+1)%lchrom]];% B) O v2 ?4 n+ K
f2=f2+dd[lchrom*newpop[k5+1].chrom[i2]+
7 }: Y7 J7 L: b' Y newpop[k5+1].chrom[(i2+1)%lchrom]];, J! X8 K2 _* ^6 {1 F6 F
if(f1<f2){inversion(i1,i2,newpop[k5+1].chrom);}
/ `: A6 m1 \! E }
# V# C( u& p3 b9 d return 1;! y9 U7 X4 g% J) o* B {* t U
}</P>9 X h6 G1 K* Z. X; @
<P>/*$$$$$$$$$$$$$$$*/</P>, Q( j9 b) }& t! D- w1 ?; Y
<P>void inversion(unsigned int k,unsigned int j,unsigned char *ss)
5 e7 N6 h8 s2 r* D$ u3 l, c, J. n# r{unsigned int l1,i;7 g0 F; j( I. V6 t& y( `9 {1 F# ?( b
unsigned char tt;$ |# [2 S, a0 F! q& H( J7 [, V, \- l
l1=(j-k)/2;. S; h$ w2 v, _/ T
for(i=0;i<l1;i++)! z2 ]! X$ V3 z) u% k
{tt=ss[k+i+1];% ~, }1 u7 r0 M* E6 ?2 S
ss[k+i+1]=ss[j-i];
0 q" E0 N0 X$ {, ~1 r# W- B7 O5 {" p ss[j-i]=tt;3 f# _+ o( U3 }9 c$ k
}% v2 [5 Y2 }& i& B
}</P>
/ B: R4 D) B1 o. t+ o<P>/*%%%%%%%%%%%%%%%*/</P>
/ U! u$ L: Q8 `7 G<P>void randomize1()5 y4 N% Z8 w3 Q# H. c
{int i;: G# l6 O) y: }% n2 I f/ r& U U
randomize();5 |9 l5 n7 v4 y f5 V Y* Q: b; T
for(i=0;i<lchrom;i++)% d" ?( N3 L$ H( i
oldrand=random(30001)/30000.0;: i+ M I& ~* t$ ?' v0 X e
jrand=0;
$ c! z/ l! G/ f8 N0 E8 l) M}</P>4 { X$ b' R/ M. k8 g R7 ?6 z
<P>/*%%%%%%%%%%%*/</P>. x" x% I/ |& o1 s
<P>float random1()+ n. v6 x7 i0 w' b; g7 W
{jrand=jrand+1;" d2 R$ W' U. ~& A' E# R1 X6 A
if(jrand>=lchrom)& K. ~' d( z2 K L" P# d; H
{jrand=0;
8 q# |0 N# |5 Y8 X( [) H) y randomize1();
. g/ E4 s* ]: F% p0 ?+ z' P- t }
3 Q" X7 u8 i" o! V% vreturn oldrand[jrand];/ H& e8 t0 X2 i( T# y$ n
}</P>
' s$ A/ N# [2 j<P>/*%%%%%%%%%%*/</P>6 `) T4 k, z2 C" ~2 n
<P>int flip(float probability)* B* L, O) a# _% X0 O
{float ppp;# h$ _% h7 H# c! v+ Z* j
ppp=random(20001)/20000.0;
9 D& \% o/ N/ B2 V, H/ gif(ppp<=probability)return 1;3 Q" L% c8 u/ }. L
return 0;
! B) I6 ^, h* i( A2 r3 ~8 [}</P></DIV>
E6 E- I5 g2 C9 K9 x4 h u% l1 T: j; C; \, S
<P>改进后用来求解VRP问题的Delphi程序:</P>
, m1 y) T8 R. w R5 s<DIV class=HtmlCode>
$ Q' u; U1 x' R% d<P>unit uEA;</P>6 ?5 ^$ U* K. T8 S4 r) I
<P>interface</P>
4 ^! x! b! d! A* g! }<P>uses
5 F5 w4 [: K3 F! S% E9 juUtilsEA, uIEA, uITSP, Classes, GaPara, windows, SysUtils, fEA_TSP;</P>
5 m' M9 E6 h. M! y f<P>type
% {8 N) ]# g& d; E3 y+ y6 \TIndividual = class(TInterfacedObject, IIndividual)) O8 ^. m! ]( ~* t: p% [) J
private! i# k) z) g8 W% A# b: ?& ~
// The internally stored fitness value+ f% J Z2 E# X V, n
fFitness: TFloat;
8 ~ @# r) }; Z9 _. kfWeConstrain: integer;! {7 T$ O. T5 @, m0 L
fBackConstrain: integer; w: d& N) \/ I% b j( y% C# u
fTimeConstrain: integer;
+ i- g+ R/ q* l" t, P% Hprocedure SetFitness(const Value: TFloat);
5 S2 d1 i. ~; M' T6 f: W3 Kfunction GetFitness: TFloat;
- X1 ~; s7 ~' U8 jfunction GetWeConstrain: integer;2 ^7 j# x: T# k$ v
procedure SetWeConstrain(const Value: integer);: B! t3 ]) s9 N; o: Q
procedure SetBackConstrain(const Value: integer);' I% U4 i- n/ ?0 A, `; X
function GetBackConstrain: integer;
/ {9 F$ I6 h+ H' p: ~, jfunction GetTimeConstrain: integer;
: [. X" o1 S5 k* |8 t8 V3 D6 v9 eprocedure SetTimeConstrain(const Value: integer);! S( Y0 j4 q2 }0 h: i. H' X# {% I9 X
public
4 U8 V4 Q% E, Wproperty Fitness : TFloat read GetFitness write SetFitness;
* L3 m- W9 M1 P* a9 T! C0 m# Wproperty WeConstrain :integer read GetWeConstrain write SetWeConstrain;
4 L$ Y. A$ a6 Q& Q4 lproperty BackConstrain :integer read GetBackConstrain write SetBackConstrain;
6 U9 b2 u. d9 X6 u, T) Rproperty TimeConstrain :integer read GetTimeConstrain write SetTimeConstrain;
) K1 B1 g+ C0 m6 c: Y8 zend;</P>
2 n8 v H. F3 @7 d& C3 l' J; `<P>TTSPIndividual = class(TIndividual, ITSPIndividual)- Q+ c6 Z- P) F
private7 R2 }! r j9 I0 x( {
// The route we travel8 B. p' I9 m) N$ L
fRouteArray : ArrayInt;
* T" g+ g# p& r% H5 C# NfWeConstrain: integer;
+ V6 z$ z! G3 f* zfBackConstrain: integer;
* M# Y, z, Q' Z! TfTimeConstrain: integer;
; b/ `2 ]) b9 `function GetRouteArray(I: Integer): Integer;& \' J5 y/ U, S, d) @" C- k
procedure SetRouteArray(I: Integer; const Value: Integer);
$ d$ |' M5 ?) ?8 V g8 k, j8 oprocedure SetSteps(const Value: Integer);7 V: T" m; M' `( O u4 L8 r' v
function GetSteps: Integer;
: k# I. y1 N/ z" W6 jfunction GetWeConstrain: integer;
) M! O: j# M7 W% R- yprocedure SetWeConstrain(const Value: integer);
5 K) b& `5 u. f! S8 S0 e& [procedure SetBackConstrain(const Value: integer);
9 T1 W# B4 J# R+ C3 {7 t: z0 Gprocedure SetTimeConstrain(const Value: integer);. a+ H. z: \; ?( X& D) O
function GetBackConstrain: integer;+ _# s7 x" F. S0 ~( a6 Z
function GetTimeConstrain: integer; |; r# e8 I% }
public
" \8 P3 Y9 N. I' E( @" k// Constructor, called with initial route size: w. l. K- C6 ^! K5 r, F
constructor Create(Size : TInt); reintroduce; s0 V$ H9 N% f% M' g y
destructor Destroy; override;, i [ O3 T1 T
property RouteArray[I : Integer] : Integer read GetRouteArray write SetRouteArray;: A' q% s5 q. n! ~8 W, p
// The number of steps on the route
c$ R+ D) M( P9 `- t" M3 s& Kproperty Steps : Integer read GetSteps write SetSteps;, h. |/ l2 z: c& e
property Fitness : TFloat read GetFitness write SetFitness;
9 Y, Z- ^8 S' k' P/ ^property WeConstrain :integer read GetWeConstrain write SetWeConstrain;3 E9 ] Z) W4 x" b# K T8 P
property BackConstrain :integer read GetWeConstrain write SetBackConstrain;7 y- C& f; s: C& B) }
property TimeConstrain :integer read GetTimeConstrain write SetTimeConstrain;
- M9 v: O7 C6 G3 B W" {end;</P>
% Z0 Y6 f' ]) S- l: _9 W<P>TTSPCreator = class(TInterfacedObject, ITSPCreator)1 Y% t/ S5 ~" i1 x, j- p
private
" M0 @8 _. ?( k$ v9 b// The Control component we are associated with
) u, Y/ M7 ~: n$ ?$ DfController: ITSPController;
! L$ w2 Y- J$ C2 M$ g* r+ `function GetController: ITSPController;1 T7 j3 o1 I: c, B
procedure SetController(const Value: ITSPController);
/ v- F3 [2 c, ^( M; `$ s% n, R, f% Qpublic
& z( z8 L! Y \# t" b1 O, K// Function to create a random individual, j" k* I# m' }
function CreateIndividual : IIndividual;, O3 j) j% e1 i
function CreateFeasibleIndividual: IIndividual;4 B8 X" t, { V' V# G
property Controller : ITSPController read GetController write SetController;
& G2 ~6 m9 Y' o1 i- Send;</P>9 L% _. c. W2 m0 v# ]0 w( t4 S
<P>TKillerPercentage = class(TInterfacedObject, IKillerPercentage)
" n8 Q3 s& E4 F9 g% Y5 Uprivate
" g6 \' w- T" @$ k/ t/ C/ |fPer: TFloat;
8 q$ E; C$ I# m4 r4 _" |procedure SetPercentage(const Value: TFloat);4 @, U* F' h; A$ I& \1 F% d" R' S2 g
function GetPercentage: TFloat;# F& p) o+ z S+ T4 C' h4 L. R2 O2 a
public4 `& e; O& o, [8 I. q
function Kill(Pop : IPopulation): Integer;( R3 `& [3 x( Z0 g/ x
// Percentage of population to be killed* g% [* x5 v5 |* D0 ~
property Percentage: TFloat read GetPercentage write SetPercentage;8 O1 t9 c( j7 [( ^$ ]+ G
end;</P>3 X0 v* V6 u9 k
<P>TParentSelectorTournament = class(TInterfacedObject, IParentSelector) X$ I$ y3 d2 N
public
# } @9 z! t1 l$ m6 {2 z) Rfunction SelectParent(Population: IPopulation): IIndividual;: M# U. `8 x+ j
end;</P>
+ n5 [; k- M4 V5 V5 ~<P>TTSPBreederCrossover = class(TInterfacedObject, IBreeder)
2 j R- y S* |, q4 X8 xpublic
" V: L4 h+ ~& ^: H Jfunction BreedOffspring(PSelector: IParentSelector; Pop: IPopulation): IIndividual;1 f f& F$ C/ Y6 D/ h/ p
end;</P>
/ T% B$ I$ V# Q! [<P>TTSPMutator = class(TInterfacedObject, ITSPMutator)
/ c2 r7 \5 V. l( _! pprivate& j* \/ @) T# M+ K
fTrans: TFloat;6 X6 ^$ T' P. n/ ^# _& _. m' j+ S L
fInv: TFloat;9 g; h9 d5 K; u# u6 ?
procedure SetInv(const Value: TFloat);
: f# ]- I, v( m+ H2 S) d% B( \- v) Wprocedure SetTrans(const Value: TFloat);
5 w- h) B% b5 B. O; Dfunction GetInv: TFloat;" ?1 k2 U0 M0 Q9 K, W* R2 v
function GetTrans: TFloat;
6 H0 b" L( h' f [- X* @public
$ r0 B7 _/ J$ r4 y$ D' zprocedure Mutate(Individual: IIndividual);& M0 D9 L$ e% @7 J9 B4 A
published
. A4 O6 q! p$ c% H( M7 h$ ~// Probability of doing a transposition1 v1 d3 y/ t- l6 }% h8 \% r) n8 c# v
property Transposition: TFloat read GetTrans write SetTrans; P! z) q' a: G" o: Q# L
// Probability of doing an inversion+ ?9 K8 S# L) \1 Z' p& x d. R
property Inversion: TFloat read GetInv write SetInv;" J. @0 z: ~6 E
end;</P>
- U4 t: F4 t4 U$ ~6 I& `6 q<P>TTSPExaminer = class(TInterfacedObject, ITSPExaminer)9 B+ |# z2 p1 e! |# ]) d, ?! b
private+ h! U- [) U5 k5 V+ S( o! b
// The Control component we are associated with
# {# D0 ?% I( [$ BfController: ITSPController;
3 ~- d/ d, w1 s9 E# W9 p- Wfunction GetController: ITSPController;
# G4 a; c+ c0 W0 n8 b+ yprocedure SetController(const Value: ITSPController);
" ~- j; d, K- b+ wpublic
* Z+ H/ O( ~3 A" F+ J2 S7 ]4 A// Returns the fitness of an individual as a real number where 0 => best' {% w! f, o4 B3 _+ X, y
function GetFitness(Individual : IIndividual) : TFloat;
3 K& ~8 \' ^, P# K5 ~- k/ jproperty Controller : ITSPController read GetController write SetController;
7 @# e& r; L" F# A7 b3 C/ @end;</P>$ \ a/ H. X; n/ a" e2 ? Y- h" q
<P>TPopulation = class(TInterfacedObject, IPopulation)
$ d, J D V% }- H. w3 Nprivate + \( c- Y$ t, \4 }, L1 N' L
// The population + n, H8 y1 ~( e% Y% W; y$ u- g/ h% \
fPop : TInterfaceList;
( \$ t+ R( M# ^$ Y0 c' u. W// Worker for breeding
! B) G. e- X% Y& |. i" ]3 J6 bfBreeder: IBreeder;2 D# o9 ~" Q5 t. X. m# C( Y
// Worker for killing9 v9 X9 i# C$ w( v! r
fKiller: IKiller;
. i: ^3 k* _% y/ c// Worker for parent selection# A( y5 k6 e) M. W: e# G8 m, [, D
fParentSelector: IParentSelector;% ^; w2 b# M) O5 H, \- o1 h z
// Worker for mutation
( ~/ `. B3 D- v5 ^fMutator: IMutator;
; ?1 Z a! j& I$ v _4 R( i// Worker for initial creation
+ ]5 X: D: ^# L# c1 n% o2 s' MfCreator: ICreator;
) Y$ h3 M) k& O+ [) k7 H) @% U// Worker for fitness calculation
/ t( S* N( I+ S8 D( P% m. ^; ~8 d3 ffExaminer: IExaminer;; x/ L& {) w7 Q
// On Change event
% E! ^' ?) b0 g1 J2 E; hFOnChange: TNotifyEvent;
' W4 X$ |! E) k) `procedure Change;
. e6 v% x" b* Z1 p, s// Getters and Setters/ b' N0 ^- o9 K+ Z; K% n( v, O
function GetIndividual(I: Integer): IIndividual;
& P& |. H8 B& M7 c# x( Dfunction GetCount: Integer;0 I' S/ g, j$ C% D
function GetBreeder: IBreeder;
$ R7 n' M) n2 y; B5 sfunction GetCreator: ICreator;3 t3 K5 X! i! X( @* G3 U
function GetExaminer: IExaminer;
& C! X3 d+ i/ @; x% Hfunction GetKiller: IKiller;* k, R% H6 C; P8 O$ a5 E* j
function GetMutator: IMutator;
4 i. `" @2 T7 u& |! j+ }function GetOnChange: TNotifyEvent;! }7 G* w8 ?4 y) A
function GetParentSelector: IParentSelector;: w, c9 W+ n1 H$ C2 @6 l( x
procedure SetBreeder(const Value: IBreeder);
. `6 A2 ~6 d G0 x0 `procedure SetCreator(const Value: ICreator);
% C! s4 {: A" x2 f2 oprocedure SetExaminer(const Value: IExaminer);% e* b, j$ }* f- G
procedure SetKiller(const Value: IKiller);
' \3 j/ K- p7 _3 Cprocedure SetMutator(const Value: IMutator);1 f$ x% b F% m/ u
procedure SetOnChange(const Value: TNotifyEvent);
# [# |; p* e1 f! Gprocedure SetParentSelector(const Value: IParentSelector);1 l: }* k+ `/ M9 n! \& v7 r
// not interfaced
4 t" @ o- X! T" {3 `: K( q, L+ Sprocedure DanQuickSort(SortList: TInterfaceList; L, R: Integer; SCompare: TInterfaceCompare);
7 y+ ]$ x' M0 \1 z9 [8 gprocedure Sort(Compare: TInterfaceCompare);# L8 J: I8 z! x! U- J: Y
protected% v5 [: [7 M6 `
// Comparison function for Sort()
. s3 c" E1 o$ p0 I: tfunction CompareIndividuals(I1, I2: IIndividual): Integer;$ @# i* x, g+ A# u
// Sort the population
/ n* H8 U" f& f( cprocedure SortPopulation;& Q7 O9 ^2 I- q' u: o
public
) o& j# ?. J; h6 q0 U. c: |// The constructor
. t f& c# f$ |$ e/ {constructor Create;2 t( U- I3 y# R8 q4 a- K% Q
// The destructor
; M q; U) N/ ~( ?. I! s, ?destructor Destroy; override;, |3 t5 v- A0 }8 s0 {" e- I
// Adds an individual to the population
& w' c# ^+ x* s5 Aprocedure Add(New : IIndividual);
& x# e2 R: Z. p4 V P// Deletes an individual from the population: `+ H2 n* O9 i6 I) W
procedure Delete(I : Integer); I I! ]8 P8 S" ^7 k
// Runs a single generation
" t, i+ `) Y* D% s& k- `procedure Generation;1 P3 v- D* O( ~- ^- p2 f8 k$ R4 s
// Initialise the population& h- K ~/ C' B
procedure Initialise(Size : Integer);
) w9 H+ N1 ^ t# H" @: f+ R// Clear ourselves out! q5 i' O& l. Y2 Y
procedure Clear;' o. L' v& |5 H' z l
// Get the fitness of an individual
- s- ?" _% `+ w" h; Ifunction FitnessOf(I : Integer) : TFloat;
* m. U- k" n' g) C// Access to the population members4 i: S$ x3 _7 Y
property Pop[I : Integer] : IIndividual read GetIndividual; default;
" b7 }8 @% g2 g' g$ O7 A// The size of the population2 _2 M0 s# a$ N9 w& `. z
property Count : Integer read GetCount;9 S6 Q6 Z7 H' Z ?/ P, m' {2 V- K
property ParentSelector : IParentSelector read GetParentSelector write SetParentSelector;
. D1 q3 s7 u* ~: R! W% I) n; dproperty Breeder : IBreeder read GetBreeder write SetBreeder;6 A3 x( g6 @- I/ n% E+ T3 d
property Killer : IKiller read GetKiller write SetKiller;1 W$ x' ^ Q: V$ D
property Mutator : IMutator read GetMutator write SetMutator;
% v7 F! ^$ o, w1 e O# Mproperty Creator : ICreator read GetCreator write SetCreator;
7 I; E6 d, k2 n5 Iproperty Examiner : IExaminer read GetExaminer write SetExaminer;
7 J' ?. u P9 O1 U8 N; B// An event* [& c/ E0 ~: V. C8 k
property OnChange : TNotifyEvent read GetOnChange write SetOnChange;6 j+ m2 t" v% H/ i. N4 i
end;</P>6 L" s# m) d4 V
<P>TTSPController = class(TInterfacedObject, ITSPController)" Y; Q( j) r8 g; h# t; \
private$ ]1 t7 d3 h7 [; |7 B2 A
fXmin, fXmax, fYmin, fYmax: TFloat;
& x, j. J! H# c+ r/ D4 S{ The array of 'cities' }) N+ u6 p; I+ P0 O6 k
fCities : array of TPoint2D;
- `; U/ @) N6 @3 U, ?4 }) v{ The array of 'vehicles' }( K$ H" l" @: ^- a; S2 L
fVehicles : array of TVehicle;5 v- L5 m/ r) K. y% \. D& y. }
{ The array of 'vehicle number' }
0 ~* D4 r$ M0 c. b9 H4 r/ @2 AfNoVehicles : ArrayInt;/////////////////////
. }1 A ~6 U4 v' r{ The number of 'new cities' }% Y% X; ~, Q+ k/ R8 f. Y( T% z
fCityCount: Integer;4 S5 T6 k+ w' B
{ The number of 'old cities' }
" }3 E; f* d; M- \, i e/ kfoldCityCount: Integer;
6 Q2 R, ^$ `' Z$ P$ W2 l{ The number of 'travelers' }
5 Z& w. \' C' |: BfTravelCount:Integer; ///////////////////////
1 `( u; v6 b7 q7 O) w l& c{ The number of 'depots' }5 b: Q q+ g5 U* P/ x6 s
fDepotCount:Integer; ///////////////////////
/ b0 e. \/ @' a" J7 f6 {. c{ Getters... }
7 ~5 O9 ~# M0 M7 k( Q1 \* Yfunction GetCity(I: Integer): TPoint2D;
4 z# C) n+ A# ]+ Z4 ?function GetNoVehicle(I: Integer): TInt;
- w" {* y) Z% ?" Xfunction GetCityCount: Integer;5 g7 O3 Y8 D% e
function GetOldCityCount: Integer;
7 x% j# v* X0 d, z Q7 bfunction GetTravelCount:Integer;) ? O! T6 p" T9 l4 N' `8 E; L
function GetDepotCount:Integer;
, X* Q+ w# j2 o2 L2 q9 ~function GetXmax: TFloat;
) ^, q2 O6 H/ d( K5 N) W/ X2 G, `( Mfunction GetXmin: TFloat; ~. G3 Q7 y* c1 s
function GetYmax: TFloat;
+ n/ Q' Z1 M; J3 i7 Dfunction GetYmin: TFloat;( V0 m. _- |" v3 l2 @
{ Setters... }
+ K& h. T- c4 M, Bprocedure SetCityCount(const Value: Integer);
y: K, c% v* ^& o, g8 T5 `& U7 {procedure SetOldCityCount(const Value: Integer);
* o, u1 |. t3 T. o$ ]7 O) L, }; y8 Lprocedure SetTravelCount(const Value: Integer); /////////////! Y2 M/ K& P$ P1 q3 t* ~: u8 S
procedure SetDepotCount(const Value: Integer); /////////////6 K+ [" x0 {8 \+ `7 `& T# x; _- v! X
procedure SetXmax(const Value: TFloat);' m9 x* V) e" C' k* Q( b
procedure SetXmin(const Value: TFloat);, ]% f/ q% y9 A8 z7 s% w6 R
procedure SetYmax(const Value: TFloat);
& R9 R- x9 w ^% v4 jprocedure SetYmin(const Value: TFloat);: F9 b$ ~! g# g2 i
function TimeCostBetween(C1, C2: Integer): TFloat;& Z4 f. F5 g# Q1 [+ m
function GetTimeConstraint(Individual: IIndividual): TInt;2 ^7 Q) k6 N* E, Y0 x
function DateSpanToMin(d1, d2: TDateTime): integer;
! ` Q# s1 @- r0 H4 B6 Sfunction GetVehicleInfo(routeInt: Tint): integer;7 O7 u, q: a q+ H& p* w/ q
procedure writeTimeArray;
/ B$ G9 @0 o$ h2 v5 F+ ]1 `procedure writeCostArray;
* Y; P1 S8 X! Z* xpublic) f5 I+ F5 V9 b, C6 t, e
{ The constructor }7 {- x) s+ H9 Z0 Y& v7 [) L3 U
constructor Create;
; ]' |+ H( U; p7 N4 [{ The destructor }
* n3 p* i7 m& x7 G6 t) ]$ f& ?) jdestructor Destroy; override;; n7 j' h) X; ]/ e1 R9 O& O
{ Get the distance between two cities }0 E4 x. f8 p; {, [9 D0 ~
function DistanceBetween(C1, C2 : Integer) : TFloat;
; m3 ~% @& ~/ ]7 v; f{ Get the cost between two cities }4 \. q5 d& e: T# P
function CostBetween(C1, C2: Integer): TFloat;</P>
: \& A) v$ @" k" U k: W; Y<P>function GetWeightConstraint( Individual: IIndividual): TInt;</P>4 p% Y" X1 \2 _/ @) d
<P>function GetBackConstraint( Individual: IIndividual): TInt;
- @4 f7 Z9 W! V( G3 d; j# E{ Places the cities at random points }( ]" E! L$ x+ f$ a" r
procedure RandomCities;6 w, b |; k$ Z3 b( e: V0 F
{ Area limits }- y3 s' |0 Y# C7 G7 @- e
property Xmin: TFloat read GetXmin write SetXmin;
j% s2 I7 s3 {property Xmax: TFloat read GetXmax write SetXmax;
& J- C1 l+ K Q! V2 r8 Aproperty Ymin: TFloat read GetYmin write SetYmin;6 ?7 ]# \$ t2 z7 Z8 x* o; @! c* W/ F
property Ymax: TFloat read GetYmax write SetYmax;
$ t F v7 f2 Y0 i1 _ |{ Properties... }0 C {+ u* ~4 d- D( J- |6 K6 x
property CityCount : Integer read GetCityCount write SetCityCount;
8 q* v9 ?& |5 E$ I6 W" wproperty OldCityCount : Integer read GetOldCityCount write SetOldCityCount;; \/ {1 {% u2 \
property TravelCount : Integer read GetTravelCount write SetTravelCount; ///////////
; ]: c+ b! `8 y$ Oproperty DepotCount : Integer read GetDepotCount write SetDepotCount; ///////////
p) G$ p0 _. q2 D6 a, o) e{ Access to the cities array }
6 I' A& {' n) N. u& `property Cities[I : Integer] : TPoint2D read GetCity;
( k- _4 ^4 F& }$ `6 b; \property NoVehicles[I : Integer] : TInt read GetNoVehicle; ///////////////2 R: s+ s9 x9 J
end;</P>
3 a6 A( N9 [& v q- M5 @) c<P>implementation</P>0 d8 ] S b* ~( Z" o0 E. m7 \/ m; p+ F
<P>uses
! \1 w! W; l5 b0 D% P0 V3 GMath;</P>
' ]9 D) e6 l$ h/ ~" N<P>{ TIndividual }</P>
4 M2 z+ N6 E/ F# b. u" U% i/ W<P>function TIndividual.GetFitness: TFloat;" n$ ~) b, B3 G' X( M" \# X' [+ R
begin5 _0 i" B0 n8 R% m! E2 j1 o
result := fFitness;
3 e D( T7 Z0 _ u# N% Eend;</P>5 x. H8 ~! d) _* ~$ P$ A" `3 a
<P>function TIndividual.GetWeConstrain: integer;/ X+ M0 z5 X) v7 [
begin
" R; O' L3 M. o- Z8 zresult := fWeConstrain;% a/ g1 s5 [, L7 L: e) X
end;</P>' n( Y# ]. X, k/ `% U
<P>function TIndividual.GetBackConstrain: integer;9 A/ K0 M6 \, m1 N* p# Q' o
begin% ^/ k P4 E* }
result := fBackConstrain;+ z7 P' N; O& f4 w" V
end;</P>
' n3 ]1 u: q* ~$ E! l1 S<P>function TIndividual.GetTimeConstrain: integer;+ p5 u2 G) B: N
begin4 s/ ]& A5 K; d5 B' o* ]
result := fTimeConstrain;4 X% m$ g! v b& q/ r0 B4 r# \
end;</P>
+ D4 y( u$ A9 u: d- t4 Y% U W<P>procedure TIndividual.SetBackConstrain(const Value: integer);9 i) j8 o6 Z N, F) D) e
begin
3 ]7 m' S6 A0 T# nfBackConstrain := Value;
" ` {) N) R$ j$ dend;</P>, P+ p* t5 a" @# e
<P>procedure TIndividual.SetFitness(const Value: TFloat);+ E- h3 `, }1 f- W! {$ v
begin$ @4 {& S0 W* @2 s7 G6 z
fFitness := Value;; u/ Q! l8 c; ?# `& h# t
end;</P>
4 Z' k( r; U3 K+ o! f9 g$ j<P>procedure TIndividual.SetWeConstrain(const Value: integer);
0 O6 R: Y# T5 a! J- h6 sbegin+ a! i! E/ z$ \: P5 _
fWeConstrain := Value;
. \7 Y4 U: p0 Y+ ]/ j. J- bend;</P>' v" {4 r9 ^: X/ H2 @+ `
<P>procedure TIndividual.SetTimeConstrain(const Value: integer);
, c2 E1 Y, ]% P8 K' mbegin4 T' ?- K F6 t; p* s+ {5 t
fTimeConstrain := Value;8 K/ I% f( E I( q
end;</P>1 x/ w; g/ D. x" z0 s) h# Z
<P>{ TTSPIndividual }</P>
( h" }% T5 i* Z; b5 X3 e<P>constructor TTSPIndividual.Create(Size: TInt);
+ c/ Y! ]! j) a5 g+ Rbegin
2 s- B% e _( t# U) P; M) n; cInherited Create;) b) _1 \: ^8 G; y' N
SetLength(fRouteArray, Size);. P- { I4 @, d* j
// fSteps := Size;
( {- f* Q4 r" mend;</P>1 _; {' N6 q* q. X, z0 Y$ l& _$ p2 L5 S
<P>destructor TTSPIndividual.Destroy;
( q$ l( S ]1 X+ w! K( Cbegin
' G- Q7 [# O9 @4 v' M+ L5 {5 iSetLength(fRouteArray, 0);1 ~0 u. j. {2 t! n. {
inherited;
# R. @" V7 R! [; e4 [: _5 b4 Gend;</P>' R/ r- o6 ?% z' C2 P4 W; ^6 u
<P>function TTSPIndividual.GetRouteArray(I: Integer): Integer;; _- K3 n. k* Q! ]! @
begin
`5 c4 V& @+ `$ `" X% C* rresult := fRouteArray[I];2 L- I6 x0 p7 F! k/ w0 ^
end;</P>
! {" `* X1 h- S. W<P>function TTSPIndividual.GetSteps: Integer;( p3 Z8 L+ O5 c. e
begin% N, r2 x- Z: ]; n( o/ E
result := Length(fRouteArray);
" R% {9 u3 n8 i5 o/ a# O6 D' }end;</P>& b3 x1 c8 e$ e2 Z. Z% |, I
<P>procedure TTSPIndividual.SetSteps(const Value: Integer);
! g% k9 ]3 g: f6 X+ |. qbegin2 r1 t6 |6 ~6 y1 A* D4 S
SetLength(fRouteArray, Value);
0 _% |2 ]: Z b9 t- }" e& Tend;</P>3 @% N$ z- }- C- E2 { B. P
<P>procedure TTSPIndividual.SetRouteArray(I: Integer; const Value: Integer);7 m0 L* X( R- w8 B
begin2 ]( T2 z! Z# g
fRouteArray[I] := Value;( e7 g) S: v2 E- `2 ^: A
end;</P>
* n2 Y6 T, f# [9 e0 B) G& N<P>function TTSPIndividual.GetWeConstrain: integer;% i8 y4 m% [- U3 p8 s% Z( H
begin: K2 h3 @! l# N
result := fWeConstrain; q1 m% |, u) A+ q: ~% F) r
end;</P>
* t! g2 a: S7 n; P" y<P>function TTSPIndividual.GetBackConstrain: integer;7 W6 s* u; _3 F2 m1 W
begin) h% O% F# U& b# O Q5 V( Q1 v# t
result := fBackConstrain;
5 r9 U6 E# O* x9 ]end;</P>2 G1 F( I. V5 f% o! g, _ |: z
<P>function TTSPIndividual.GetTimeConstrain: integer;" b9 C9 f( s; d6 q- M' G
begin1 a. Z4 \2 }2 E+ f( F7 ]! ` P8 ]
result := fTimeConstrain;
1 U0 W/ t0 @( I, {+ c! |$ Oend;</P>
R( {! L8 `# @: o5 p' ?4 a" z<P>procedure TTSPIndividual.SetWeConstrain(const Value: integer);
, l' [! I4 Y/ n# fbegin
- s- Z- }. E M, jfWeConstrain := Value;
4 A' x/ Z; P4 hend;</P>
9 S- K0 H$ m( E6 U7 U0 m<P>procedure TTSPIndividual.SetBackConstrain(const Value: integer);1 `. r9 W7 J8 j9 T+ s
begin
, l& v+ U( R6 UfBackConstrain := Value;1 }- t. t0 M' O t; v' S+ L; U
end;</P>
& J3 `( M1 E M# c<P>procedure TTSPIndividual.SetTimeConstrain(const Value: integer);; b2 z0 C0 p. q& o. O" @8 @4 k
begin: S. k4 s9 C( {, v
fTimeConstrain := Value;
) A- B1 z+ z; o5 F8 }' [end;</P>
; {) _5 y1 ]6 ]+ p<P>{ TTSPCreator }</P>
9 B6 q! ~* `5 E+ a+ G# w$ J0 l6 ~<P>function TTSPCreator.CreateIndividual: IIndividual; V7 V9 H. g2 M6 Z2 z4 c- U& O
var/ e j4 ^+ H* e |4 v
New: ITSPIndividual; i1 {' |1 e4 o' M: |. t
i, j, Top, Temp : Integer;
7 F) Z$ P! ]5 M. @//trav:integer;
0 @! R) z9 t% ^2 o. A5 bbegin
# }- w* R( w- f2 M4 @5 y" H3 x// Get the number of cities
: y) ~' B# d' _3 @6 E5 t( fTop := fController.CityCount;
0 v2 l) n$ c9 _2 D( g// Create the new individual
- \/ i1 x$ P3 v- y( f4 Y& WNew := TTSPIndividual.Create(Top);4 J# I6 ^7 C: [0 W4 J3 a' e
// Initialise it with a sequential route
; N: S; G ~6 }0 l% ffor i := 0 to Top - 1 do
# _1 ~8 d( u5 }New.RouteArray := i;. ^ _& u( c+ d
// Shuffle the route9 O5 P X* I9 j, m4 l }
for i := Top - 1 downto 1 do* T7 m h; ?+ ~. l
begin% d" n. n6 M- C
j := Random(i);
" _* J/ }8 x, L3 r2 g4 l; x2 s$ i- WTemp := New.RouteArray[j];
{: Q1 o* p' ~% i. ~ T6 lNew.RouteArray[j] := New.RouteArray;" v6 j) [# V" i
New.RouteArray := Temp;. q$ ?- u2 W+ f
end;
/ {6 l! H0 d: Bresult := New;; T( n4 j8 A i2 B/ V
end;</P>0 E4 ]. K, g+ g( m: N$ N
<P>function TTSPCreator.CreateFeasibleIndividual: IIndividual;2 d7 c9 O5 L) @' z. o; X% V
var1 B: w/ I! o- D7 @/ X
New: ITSPIndividual;. a; U1 Y2 A% t4 p0 y% v
i, j, Top, Temp : Tint;3 i b9 K- T- E5 B X( W6 O4 R
Msg:TMsg;
8 E; G5 \4 l+ \" ?begin7 l" _6 n8 j# X0 {$ g
// Get the number of cities- \ K" S) S5 X4 Y
Top := fController.CityCount;
" x- Z/ b7 W% L1 U0 Y// Create the new individual$ @3 t4 I# }" m! M! E7 @
New := TTSPIndividual.Create(Top);
2 u: w6 F6 h" O" R& V0 l" y// Initialise it with a sequential route
6 `& T5 E3 G t+ arepeat
. y( v+ S' U( w5 R, g9 \/ ybegin//////////////////////////////////
' P6 e8 X4 g# G G( Wfor i := 0 to Top - 1 do4 e x8 x- z4 J- I I
New.RouteArray := i; U* Q4 S% }1 ?/ c6 T
// Shuffle the route
: W- ~5 n1 A( jfor i := Top - 1 downto 1 do0 u/ k/ V6 f6 }+ D5 q
begin/ u3 e4 N+ Z9 Y$ x- K) F
j := Random(i);
F. H0 O% H1 \% V% MTemp := New.RouteArray[j];# g/ A* T: d* \
New.RouteArray[j] := New.RouteArray;
# R' D+ @$ a* N3 w9 c* \New.RouteArray := Temp;
# g) @2 P: g c$ Y! H# C2 Kend;
+ e% T: p* U, l' S" T//process message sequence//////////
- U# W3 J. q6 d/ ~while PeekMessage(Msg,0,0,0,1) do///# G5 q) ~, e% A* Q% Z* z: r9 B
begin ///
( h7 ^" w0 ]9 S5 qif Msg.Message<>18 then ///
$ b% g8 T3 }: K7 s `begin ///
+ ^& N! q$ f( `; B% zTranslateMessage(Msg); ///
) Z* Q- W3 Q( z/ |; i0 H$ XDispatchMessage(Msg); ///9 D8 T# `$ z, a* u5 G
end; ///
: c# h9 _- z+ K* R4 G9 O8 K' p; kend; ///
# Y9 N$ i. C% m$ u) Y$ L////////////////////////////////////
1 u9 E E% d: \end: q6 z: k$ |& l
until (fController.GetWeightConstraint(New)=0)and(fController.GetBackConstraint(New)=0);</P>
; P, L* E7 W4 q0 g<P>result := New;
; | T3 m7 F9 }7 `1 Yend;</P>
: j7 p- C, m4 _5 I# J4 W, H9 ^<P>function TTSPCreator.GetController: ITSPController;: j% o2 G/ k( a8 _% k
begin3 [0 ^+ ?' r4 W+ s/ V
result := fController;( _0 ~0 o G B9 Y- |
end;</P>/ _4 z& {" @( }- S* c$ F8 Y
<P>procedure TTSPCreator.SetController(const Value: ITSPController);
, |$ r+ ^1 k0 ^! hbegin
% t- @$ }4 [4 {# H7 kfController := Value;
z# v: o# X: |% Zend;</P>
/ v( N' l7 H4 D1 y0 S4 v<P>{ TKillerPercentage }</P>
: p) m3 D4 b1 {3 | }- \" I/ W% s<P>function TKillerPercentage.GetPercentage: TFloat;
' _6 t1 R( o. I6 Z9 h6 Nbegin
) V, C+ |. n, [* f5 Oresult := fPer;
* g" f& }. f" E8 |$ y* P1 [end;</P># N1 i: k( z( h4 ^2 {+ z) W# J
<P>function TKillerPercentage.Kill(Pop: IPopulation): Integer;4 L/ X. g3 \# b# k/ \4 x M7 a
var
; } }( q2 l1 u @! y- y9 }) @- Q! SKillCount, i : Integer;
7 g7 [8 c; q4 K4 @1 jbegin) C$ H2 X+ Y; t
// Work out the number we have to kill+ q. k5 f" a+ ]6 t* ^
KillCount := Floor(Pop.Count * (fPer / 100)); O# g7 ]+ L! \6 B
// Delete the worst individuals - assuming the population is sorted
: r( D7 A! u5 h! b: cfor i := 1 to KillCount do
& D" t0 g& H: K5 O( a& t" a3 jPop.Delete(Pop.Count - 1);: ^9 a! r+ u- u5 q9 S
// Return the number killed* h4 B6 @* c! J! C7 O4 R
Result := KillCount;6 r, H& E5 R( _$ i5 x7 w
end;</P>
3 o h. O' a- O8 s$ y% F$ R, {<P>procedure TKillerPercentage.SetPercentage(const Value: TFloat);
3 y7 U! Y% [: k( w# e2 l$ N E0 ubegin
3 H) h3 V" o3 d" Y# k- h* L" ]fPer := Value;+ M; p) f) y# H G
end;</P>) ?; w; V+ V9 x1 O% j7 l v' ^, s. d
<P>{ TParentSelectorTournament }</P>
. g- r0 v! j8 f- j1 W<P>function TParentSelectorTournament.SelectParent(5 `; N7 _$ c! B2 K! x: G0 E1 j9 n
Population: IPopulation): IIndividual;
$ J& ]* D& X- o8 {: w, Dvar m4 X. x* D+ ~
i1, i2 : Integer;
7 ]1 [+ V" J7 O8 Y! J" `0 dbegin
+ i$ V' ?5 F% \2 n$ ?// Select a random individual
1 |7 j; C' p1 O$ J+ P0 b0 U* m8 `i1 := Random(Population.Count);
$ A" j( V8 U$ w4 k5 z% i// Select a *different* random individual- K( g0 n8 f; Q; m" F+ {9 n
repeat
1 T G3 W1 h) L# U+ K( p w9 D5 {i2 := Random(Population.Count);, J- K5 R. @% ]$ P4 J4 b8 C
until i1 <> i2;
8 x9 Y! L; K6 w! E5 I// Hold the tournament and return the fittest of the two& f9 O$ |, n( |& V4 h
if Population.FitnessOf(i1) < Population.FitnessOf(i2) then) b0 K( m& `" d" p, s9 f
Result := Population[i1] M4 Q$ x2 M7 a+ Y: G
else7 p9 @ _7 [9 s {7 P
Result := Population[i2];
0 }! P% F9 b% ~# i) eend;</P>
" ^8 o- k& b: s2 F<P>{ TTSPBreederCrossover }</P>
& V' ?8 q- y E8 R8 c( q9 Z- t3 |<P>function TTSPBreederCrossover.BreedOffspring(PSelector: IParentSelector;
8 c# p& [5 G0 y$ T5 `Pop: IPopulation): IIndividual;
/ p$ X& E2 @7 c2 Yvar
( @+ [9 I- b+ {. Z! aChild, Mom, Dad, Parent1, Parent2 : ITSPIndividual;0 ]! Y# x# `! L1 A
i, j, p : Integer;</P> b2 b$ J' M7 d3 f: n
<P>function AlreadyAssigned(City, x : Integer) : Boolean;! s$ X. B4 F+ J, H, q& Z
var- O8 m6 a2 q; H5 l. E( |
y : Integer;, }5 B. x- C' r- o6 Q
Found : Boolean;: G+ H9 c4 ~/ h7 n3 M7 z9 H' C
begin 4 q; K# B3 m8 p) u
Found := False;
8 t2 t% ?) S# k$ ]for y := 0 to x - 1 do
, h( Y3 z: Y2 i- a' vbegin3 \+ W/ d: C' m5 e
if Child.RouteArray[y] = City then
+ }# u0 V7 O Y2 ^8 Fbegin
" [5 m% v* p9 SFound := True;
3 N3 d V5 b5 m- v0 ~ [ b, N( UBreak;
: }) P4 G* ^; }( i* bend; * H$ i; c7 `7 @
end; $ t1 }. X; U) f
Result := Found; 7 k, ]% ]$ T: a2 k
end;</P>" x4 h7 K& { l
<P>begin , g" m/ c% E9 @) Y; {
// Select a some parents...
3 X' k4 w6 `0 t" @) QMom := PSelector.SelectParent(Pop) as ITSPIndividual;
3 R) [" E0 } T3 O( fDad := PSelector.SelectParent(Pop) as ITSPIndividual;9 ?1 j" |, {, x$ H* h
// Create a child
0 {3 k" h) q+ R3 V' l5 nChild := TTSPIndividual.Create(Mom.Steps);2 W1 q; P; y. n) {% M
// Copy the route from parents to child % q" [/ Q0 T7 X
for i := 0 to Child.Steps - 1 do ' v. R4 Z9 p+ O
begin a& J) ]2 W3 r6 v
// Choose a parent at random
: e! T8 T& V& m9 e# qp := Random(2);
m' U, ^/ ]) Y( l Cif p = 0 then , Z* M$ b0 G4 m# ~
begin ; N2 k) M) D' v" r* C E
Parent1 := Mom;
/ {/ h" A, R# MParent2 := Dad;# l3 {' t( Z# J a, q3 |' j3 y
end else
% q% i# c5 z# x5 Bbegin 5 Q* b l/ I/ Q- V. G
Parent1 := Dad;
7 n! N Y$ h( T$ C" p, ~Parent2 := Mom;
9 \& J7 J, j; y j7 X6 ^8 ^% Gend; 1 s4 u' ~: G* _
if not AlreadyAssigned(Parent1.RouteArray, i) then
* z6 ]8 `8 u5 o q4 rbegin . N8 m8 ^/ U' T$ A: A) i) ?
// Use city from Parent 1 unless used already
6 L( O P% V7 Z0 ~9 i# b) [Child.RouteArray := Parent1.RouteArray;
/ H! l) H% w! A$ h: hend else
" J0 b: O- z5 _- ^0 Zif not AlreadyAssigned(Parent2.RouteArray, i) then 2 k9 F _, r8 j( {; L
begin
. _: G( g5 k" M$ ]// Otherwise use city from Parent 2 unless used already
- V* L( d; l* {0 U- U6 JChild.RouteArray := Parent2.RouteArray; " |4 H' g( [% U" Q
end else
9 Z: i0 t1 c, S! z' zbegin 0 ]+ w# ~5 J9 ]# p. ]
// If both assigned already then use a random city
, L( n6 g* U0 o" T) s7 V. ^* erepeat 0 J$ ~2 b) X- ~1 z/ Y- F: Y
j := Random(Child.Steps); " c) `3 ~, n H& }1 I0 n' \9 a
until not AlreadyAssigned(j, i);
' s4 l [# \) _& @6 M5 HChild.RouteArray := j; - Y) O- s/ r9 m* y: M7 D
end;
3 Y2 [6 q9 q. Z9 \, i; X4 Qend; ( l" S2 l$ Y9 _' u% ~0 ?. U
// Return the child/ U# \3 o9 T/ {, I& t0 B4 m: u
Result := Child;) t+ n" @7 Z! i$ m8 [& f+ V$ G
end;</P>$ V- [; w& A( y4 V
<P>{ TTSPMutator }</P>
3 G5 Q3 d/ v, i2 E<P>function TTSPMutator.GetInv: TFloat;
! g2 D: m8 {% z! C- s" ?8 Bbegin0 u) \# w+ ]0 J
result := fInv;
- y3 b, y( D0 P- nend;</P>
8 A) e" s4 Q( A9 [6 T! Z$ T- ?; y<P>function TTSPMutator.GetTrans: TFloat;
H. t0 e5 B% h, ~# i9 d( Tbegin; {8 Z: I, a8 r% b g$ Y
result := fTrans;$ H5 D+ U3 n# _# M: j1 K$ V
end;</P>1 w+ I3 s5 e9 f# Y% f9 O
<P>procedure TTSPMutator.Mutate(Individual: IIndividual);6 {0 S* @: C) ? z, d, C" W2 `6 T# a
var" `5 q# h8 E) u- N8 o1 Z; n
P: Double; ; V" S' Q5 D) r7 C: I
i, j, t : Integer; Start, Finish : Integer;% L6 n$ Y% X6 N! _ K
begin
, ]: |% @5 D4 x& D) X* O+ ^with Individual as ITSPIndividual do: @3 o( j6 J% }" [, D
begin
" R0 E* \5 r# a! e- K// Should we do an inversion?
+ t f+ l1 G0 \ b" QP := Random * 100;) o+ j" t$ Q0 U
if P < FTrans then
1 S5 ^. f( y9 T3 rbegin
& }6 B: N, o3 F5 O/ Q// Do an inversion (i.e. swap two cities at random)
8 C; O4 I- j7 W3 _* t" _// Choose first city
0 \! O, W. N# @ vi := Random(Steps); : i3 L A6 A, j
// Choose a second city
/ a# {: R5 G8 |0 _/ Nrepeat
& ~( z' Y2 g5 f+ Q9 lj := Random(Steps); # D4 R: ^9 E# M1 ~: r
until i <> j; + D2 F3 ]5 Q9 Q9 H; Y$ m
// Swap them over
* `0 k' W8 Q& c. ]t := RouteArray;
' C- l( [1 Q4 M9 o/ KRouteArray := RouteArray[j];7 N2 G" q- c- I" ^! i# B
RouteArray[j] := t;
3 D( G4 T( y! i% Z" q* c8 F; Wend;
& w+ s. g& I" J5 w+ R// Should we do a transposition?
M6 ~9 J: e$ w$ E8 A# mP := Random * 100;; ~ D$ n9 C/ @+ B6 b
if P < FInv then
3 E' U! I$ k/ U4 S% e$ ]# {1 fbegin
- E: X+ A9 p& R/ M {. j- O// Do a transposition (i.e. reverse a sub-route)# b* j% j5 z U) j7 |$ W! `
// Choose random start and finish points# ]# ]5 K, \) j( C
Start := Random(Steps - 1);
$ `" l& r& ^/ B) l) sFinish := Start + Random(Steps - Start);5 R9 R. t* j4 m# ?
// Reverse the sub-route
9 ]/ @7 o2 ~! C6 Q4 Q6 afor i := 0 to Floor((Finish - Start) / 2) do1 l6 O5 K8 D: @8 j* m
begin6 V- Z% `3 I1 n8 k/ T7 q
t := RouteArray[Start + i];( [9 k7 q( a n7 v
RouteArray[Start + i] := RouteArray[Finish - i];4 Y! {& B6 s' D2 {# O
RouteArray[Finish - i] := t;
% w) b- `2 W9 O2 @. `) p5 P* b' hend;. t9 v) L' M0 A6 p e8 J
end;+ ?/ k; h3 |2 A
end;- t4 S: Z2 C; P5 N3 G! n8 U
end;</P>
& g9 J8 R4 Y( Q. b* @' {<P>procedure TTSPMutator.SetInv(const Value: TFloat);
, u* ~ v. W2 Z- o1 Jbegin, u9 D8 F% K' M) O, K% K' D) ]
fInv := Value;8 g% T+ y- o% e% Z; z
end;</P># \, \. _$ D$ d& X4 ]8 ~1 u% i; @
<P>procedure TTSPMutator.SetTrans(const Value: TFloat);1 v. o; Q4 J& u
begin; Q( L5 W) P3 n) x p
fTrans := Value;
" m. M& r# H0 V# pend;</P>; [- [6 ]5 m( L
<P>{ TTSPExaminer }</P>% ?/ N/ b3 J$ H, K: I8 v
<P>function TTSPExaminer.GetController: ITSPController;9 L U) ]2 C$ L" V5 h$ V+ G% i
begin
) S( p! ]3 J1 Uresult := fController;9 Z' E* @' b. w( {3 l
end;</P>
) W8 X7 u% r4 I) I& U8 d" R<P>function TTSPExaminer.GetFitness(Individual: IIndividual): TFloat;
0 M; p8 I: S& v7 Ivar
% ~, H& Z- R- K5 K) J: j# z, O* I: Ti , weightConstraint, backConstraint : TInt;% w* _3 e$ Z8 n' U7 U
Distance , penaltyW, penaltyB : TFloat;
: ~! b1 y, \9 w8 D7 ~Indi : ITSPIndividual;
, l; s6 l( V, C( N" ]6 |0 _; Cbegin
Y: S: g0 E z4 VIndi := Individual as ITSPIndividual;. n* Y2 v8 X2 i5 I; a% t
Distance := 0;- R" ~# p* N7 @) c# i
penaltyW:=FormGaPara.EditWeightConstrain.Value;
# @# ~+ j' b! l& wpenaltyB:=FormGaPara.EditBackConstrain.Value;/ S, Q* |. N7 X* `: z* Q% r$ `( y. G
for i := 0 to Indi.Steps - 2 do/ c" N, D# H/ U# j
begin, o0 t. I* L; F+ |
Distance := Distance + fController.DistanceBetween(Indi.RouteArray, Indi.RouteArray[i + 1]);( Y( Z9 `& P3 K W- t
end;+ ?, v, w6 R2 o' W( Y$ K5 S
Distance := Distance + fController.DistanceBetween(Indi.RouteArray[Indi.Steps - 1], Indi.RouteArray[0]);
3 Q3 E! q* X1 EWeightConstraint:=fController.GetWeightConstraint(Indi);$ m, }, x+ o& f2 E
backConstraint:=fController.GetBackConstraint(Indi);: M2 P: r8 v L4 D
Indi.WeConstrain:=WeightConstraint;# i# [/ }# l# [
Indi.BackConstrain:=backConstraint;! Y9 p+ @& m+ t, T
Result := Distance+penaltyW*weightconstraint+penaltyB*backConstraint;
& W( S$ k$ J8 I- [end;</P>. u9 T" M& f- W# F! ?/ C# x
<P>procedure TTSPExaminer.SetController(const Value: ITSPController);; Z; F' v6 x6 E) i
begin' Q! \8 @0 O5 l% b* e
fController := Value;3 x8 ]- t$ g6 d
end;</P>: K/ G$ W; G8 u) _
<P>{ TPopulation }</P>
, w( ?+ G; F4 x, k$ K+ H<P>constructor TPopulation.Create;
$ v- C: ?; y% ?# Lbegin# H/ e# Y# Z, u- [
inherited;9 q* s0 A0 j: M+ M ^, O. m' F
fPop := TInterfaceList.Create;
% N Q4 a( o: j1 [3 {& V( ~end;</P>* a8 G$ X c) P' r1 m0 j! T
<P>destructor TPopulation.Destroy;
4 R- y! d1 T& o9 T+ q- H/ wbegin1 B0 n2 X# ]0 j' z& g* I
fPop.Free;: e- f" M9 O) Q$ U. f! s1 c0 U
inherited;
, B% J' Q9 b; H6 H( t* Lend;</P>' G: w# l4 R, o/ Z
<P>procedure TPopulation.Add(New: IIndividual);, R. [6 W; |) ?% j8 B9 c
begin
. Y" f1 u/ B' f" S3 p, NfPop.Add(New);
# ^: ]' I) W) u$ o# {end;</P>
* d+ ~- t9 U1 u! {: s0 j<P>procedure TPopulation.Clear;
1 n5 _7 I7 o/ y& G* c, g8 Fbegin
/ f% D; g/ d4 g* ~; S( kfPop.Clear;
: e" M. X* J0 aend;</P>
7 ?, f5 ]. t* j6 `<P>function TPopulation.CompareIndividuals(I1, I2: IIndividual): Integer;% P" t% Z+ ]8 B2 L- F) X1 g
var
8 L/ }9 J/ E4 L, v$ ~: kA, B, D : TFloat;3 Y. U) a' Q( B* n9 o
begin% j+ k- u4 G0 b3 Q4 I
// Get the difference between the two individuals (real number)
* r( B; Z3 \+ p; VA := I1.Fitness;
9 I7 z |* X% B3 D0 C/ u* gB := I2.Fitness;</P>
( P' |! ]. c) ^<P>D := A - B;</P>% E+ `, Q; W! u6 W5 I+ H
<P>// Quickest way to convert that to an integer is...$ c- x. b% s+ @( ~ r" [
if D > 0 then# q G2 C3 h! ^4 ~: v G) M
Result := 1
1 z* q' Y* z# F# Z/ @) J6 Lelse if D < 0 then3 X0 i) E* c" {0 J9 n5 ]
Result := -12 L/ k1 Y# ?/ D# O# A( w4 b3 \
else
3 y6 W2 j% n9 C% O. V% M0 mResult := 0;& R! ]# A/ L* ]4 B
end;</P>4 d x& b/ z. U9 h& ], T$ u8 Q. Q
<P>procedure TPopulation.Delete(I: Integer);
; |: c6 k" j) Zbegin& J9 [+ m4 J7 B
fPop.Delete(I);$ r2 ^, E8 D O, K# E
end;</P>
: Y+ n7 h1 t, t) ]<P>function TPopulation.FitnessOf(I: Integer): TFloat; v: w3 V: P+ K. u) F
begin( I# p! a/ [" Y( [& @/ \
result := Pop[I].Fitness;3 @2 U7 ~: i9 b- t. \
end;</P> R) C; Q4 a6 z3 w: M, z$ X
<P>procedure TPopulation.Change;
& f2 X' I1 x- J9 o3 D; }) o; tbegin
3 T: p$ c3 q' K( }% rif Assigned(fOnChange) then0 t3 Y4 c/ k1 T: H# X9 J6 M. c
FOnChange(Self);
4 m% ?: E' ]5 j Jend;</P>4 i- ]: A; h4 k; ~' ~
<P>procedure TPopulation.Generation;
# G/ a* O2 L) m' I- C svar
% g8 l6 E' J" x% I/ ~3 J5 @% G! DReplace, i : Integer;
+ y! a$ Q, w; ~ \3 }- t$ dNew : IIndividual;
7 W+ p" B6 \, }; r1 A! s! Ybegin' {0 v: b! g+ e ~0 `; B' q- A
// Kill some of the population! ^3 T2 ^2 @& g- W7 H! N
Replace := fKiller.Kill(Self);</P>
) x# ^0 c# G$ X! `: d* B( x: C( b<P>for i := 1 to Replace do
+ C6 F5 n9 S" ?. ~% V+ z3 [- X% |begin
% f6 Q7 J/ j, a) ?/ N1 K// Breed a new individual
+ S R/ ]7 F0 |( F( M3 sNew := fBreeder.BreedOffspring(fParentSelector, Self);' O! _. N" u# q( [0 i
// Perform some mutation on the individual* J1 a9 r+ i7 E2 e; m! X* R
FMutator.Mutate(New);* X, i t1 K, ^4 U7 n( T, y
// Get the fitness of the new individual% r( D2 i* c- o: }8 ?7 Z
New.Fitness := fExaminer.GetFitness(New);
! P/ \% D1 I# j3 [# e: H, _' ?, O' |// Add it to the population3 @$ W! R4 K( [! C6 B# M/ F1 z
Add(New);+ U5 ~. y: r! v& }- I1 s
end; Z- ], {: u- o; K/ _+ o. I
// Sort the population into fitness order where first <==> best3 H9 U! }* Q( `! M1 K
SortPopulation;</P>
- T/ Q+ F( _: [; x' C9 @<P>Change; j% k5 a. x& F# m4 h$ a, Q
end;</P>4 k+ j! ^- K; O! M$ ?) w
<P>function TPopulation.GetBreeder: IBreeder;' @; ]. ~4 X* {
begin. |! p$ K2 A" f, }1 T
result := fBreeder;
8 I0 R* x7 Y, iend;</P>
4 W( a) B+ _% I: ^$ X<P>function TPopulation.GetCount: Integer;, b7 M i3 j! O% G/ \
begin
# Y# Q, @ f9 W: r. rresult := fPop.Count;- l3 K: f$ n( g8 u7 o/ J
end;</P>
" H4 E/ \8 Y: T# X3 D! X$ x<P>function TPopulation.GetCreator: ICreator;& r" }' d8 B# B$ V
begin
8 o! H1 @$ L, l3 j; @+ _result := fCreator;
3 x. [/ B" q6 l* Kend;</P>
+ v- H8 n' Q; D5 x<P>function TPopulation.GetExaminer: IExaminer;4 o% o+ ], m/ B- V
begin' E* T; a) N; ^9 e7 o1 Y$ t% N
result := fExaminer; s2 _7 ~9 k9 e+ M. ?: r5 S' i
end;</P>
) r: p- n }# W% M- n( ]( k3 a<P>function TPopulation.GetIndividual(I: Integer): IIndividual;; n Q- k, i1 \: l8 ^
begin' q( \: F J& j; C
result := (fPop[I] as IIndividual);
/ x0 X& T. `5 J0 Uend;</P>
) Y* Q" S2 v3 Z E3 f) H1 z<P>function TPopulation.GetKiller: IKiller;
+ q0 g' L& ?* {+ e, ?begin
, S9 N( J& ]6 j- l* Hresult := fKiller;
2 N) {1 c9 N5 z0 A; Rend;</P>
% Z) |2 g. f7 C( V9 _, G<P>function TPopulation.GetMutator: IMutator;
3 Q& V a0 d* O9 r2 f" `2 Rbegin2 L# K; r5 c" H( q1 [# g1 H
result := fMutator;
- j# B2 Q( l' E5 R* {end;</P>
( Y$ L) e; E- |2 y7 H4 a<P>function TPopulation.GetOnChange: TNotifyEvent;) @; x1 E5 N1 i- r/ b
begin
- j/ Q) F% F: \" E8 lresult := fOnChange;/ p: h) ]( N" K, Z0 j
end;</P>
" f- O9 f0 \. u6 g2 b4 ^2 W<P>function TPopulation.GetParentSelector: IParentSelector;7 M1 C& J$ Q$ k0 W0 `' T7 ~
begin; s9 t& c7 F5 ^2 M# E4 e
result := fParentSelector;
/ ~4 ^. y# c0 |9 Tend;</P>
/ O. x W. `$ t+ a2 z% _<P>procedure TPopulation.Initialise(Size: Integer);
/ p% }& A* P( l% M9 n0 Lvar. Q( ~6 u' c9 Q0 T
i,feasibleCount: Integer;
3 F1 H# S) Z0 TNew: IIndividual;
+ n1 @7 p; b* t; |5 |begin
& f8 D& E) ` C, }5 s& Q, d6 XfeasibleCount:=round(size*(FormGaPara.EditFeasible.Value)/100);
6 M: ?& t- @4 v2 P//feasibleCount:=1;
/ L; W1 w% J, ?6 u' |// Clear out the old stuff
; ^" u0 k$ v4 Q* ~2 I2 QClear;
& i3 r8 z) o5 n2 h% _9 _0 j0 ?% N// Set the capacity first to save about 12 nanoseconds ;o) d9 I% [3 Z3 C/ v1 l
fPop.Capacity := Size;
$ N( W+ h' i) Y2 ^// Create the appropriate number of individuals
; s5 k! L! C- I( v# O Cfor i := 1 to feasibleCount do
/ w6 |1 ^( C. Z, obegin
6 Z# H" V6 H- o// Create the individual
- {% g" G+ ^6 r# ?& l2 S5 c$ wNew := fCreator.CreateFeasibleIndividual;
0 _ [( d) F1 V* `4 Q2 E5 Y// Get the fitness of the new individual
: z) O K" \5 ZNew.Fitness := fExaminer.GetFitness(New);) m& p+ R3 ?% N! x* S2 u; }* m
// Add to the population
( k: c) u9 y( A: t, [: WAdd(New);
. g$ i3 k$ S! B, s* |end;2 L! O" M0 x Z4 T7 R- U
for i := feasibleCount+1 to Size do7 L; Q% T! v) `" r/ d7 q
begin8 r/ P8 X' J4 N# U& F
// Create the individual: q5 R/ V. ^0 F+ p- n
New := fCreator.CreateIndividual; ////////
9 L; F2 s1 ~6 q* X, M4 m$ K7 d. A( }3 P// Get the fitness of the new individual- y. {; O; ?4 L ]" [# j
New.Fitness := fExaminer.GetFitness(New);. G% U# D5 l; U" n" Q3 h1 }% p
// Add to the population' L' Y6 c0 a( q5 E
Add(New);
* N, r9 O. E$ W: f/ Kend;
4 e2 B3 ^* ~) O9 q6 SSortPopulation;* j; z) J1 E6 {8 M# M
Change;6 W2 F5 c2 B5 j& K- h a2 Z1 V
end;</P> X: J# b1 \* v/ ^! v& S
<P>procedure TPopulation.SetBreeder(const Value: IBreeder);2 E# c; p) r8 _$ p$ a+ h' |
begin+ u/ N7 i# ]! N/ P+ b+ D
fBreeder := Value;9 N1 g" c8 ]9 _4 w8 t+ P# h
end;</P>
% A0 O; c% x9 b8 G; ^- b- ^5 B<P>procedure TPopulation.SetCreator(const Value: ICreator);
5 V5 B. ~# h5 x; d4 c2 n# B8 d0 Cbegin5 }' s* Y1 z9 K( T9 Q6 }
fCreator := Value;3 n% v5 j& O/ h g
end;</P>! T+ u2 D& G: Q- R* z5 D# y$ i; p. u
<P>procedure TPopulation.SetExaminer(const Value: IExaminer);
! B2 R& x! Q2 `6 ]8 ?1 v' f2 t; Ebegin8 }3 I. C0 b: c1 ?: w0 j
fExaminer := Value;; A4 G; s/ [$ L& w3 q$ t2 p* @
end;</P>/ z# F" |9 q- s
<P>procedure TPopulation.SetKiller(const Value: IKiller);; T+ t" b k) }; a( ^
begin" m/ |) J8 |/ f
fKiller := Value;7 x% m& v5 J+ W( b" s: q
end;</P>4 `& Q5 d+ T- U J* J0 E
<P>procedure TPopulation.SetMutator(const Value: IMutator);
4 w; K: G- Z- l; }" Y- v. lbegin
$ K2 {3 k& Q5 T0 N- KfMutator := Value;( Q% e0 Q3 E' }2 k, [ @: ~' ?
end;</P>6 }" D" D3 g$ i8 q9 n' t
<P>procedure TPopulation.SetOnChange(const Value: TNotifyEvent);
4 S! _2 B/ b# Ibegin& h0 a+ `' h2 y) z- r. g
fOnChange := Value;! |! F1 I' {. d
end;</P>! z4 C$ C- `- _% p) M
<P>procedure TPopulation.SetParentSelector(const Value: IParentSelector);% m! [. T; S& s' f- s, S
begin
! |. w. m5 B. h! YfParentSelector := Value;
0 h+ |0 R" ~' Z1 J5 u5 ]( dend;</P>; [+ u8 g! i2 U9 q" _, ]
<P>procedure TPopulation.DanQuickSort(SortList: TInterfaceList; L, R: Integer;! y( r- b' Z' @$ X8 U5 z% Y
SCompare: TInterfaceCompare);( d# ~- v( A& K4 y
var
* l: o( L8 Y" ]I, J: Integer;
. P, J: X$ U! \: H0 j# rP: IIndividual;
# \ }5 d" ^! Bbegin
# u2 _& K8 M: }& l9 [' Qrepeat
! j5 p/ P/ v) @( ]0 b6 B. LI := L;
, }1 }" c! B6 L* o* \J := R;
( I. b* p+ O- [* DP := SortList.Items[(L + R) div 2] as IIndividual;0 w( ^& l0 H* k
repeat
0 ^9 U) l( d2 }1 l+ E1 X) x$ {while SCompare(SortList.Items[I] as IIndividual, P) < 0 do
: k4 A$ B& I/ ?9 J( t( O9 u7 |Inc(I);! C' I; J# z6 Q6 [# V
while SCompare(SortList.Items[J] as IIndividual, P) > 0 do
- C# O8 v/ Q- {8 V6 i5 R kDec(J);7 w: @5 F% O5 {* z% W
if I <= J then9 M l. N6 H, b3 J
begin1 U9 w% d% `) m
SortList.Exchange(I, J);
# L# Q: g8 w, D! r& i/ z/ v3 jInc(I);1 z$ l1 {/ W+ ~) J
Dec(J);; z) V4 F$ U4 P( I2 q0 s# c! p
end;) d% a9 [$ r& c5 `
until I > J;
5 [+ ?( P: S: `: d! v5 ?7 p! h$ Wif L < J then
1 C' x8 b8 Y) u: g$ WDanQuickSort(SortList, L, J, SCompare);1 x6 i; s& t* d$ _+ B1 |
L := I;
4 ^0 }8 E' h4 v6 tuntil I >= R;: h# H' L4 i+ B/ y; o. o
end;</P>
7 A6 [& g( [/ M7 u/ a. m<P>procedure TPopulation.Sort(Compare: TInterfaceCompare);
' }+ O; J- l5 _+ R/ mbegin# A3 Z5 b( K" I k. `; q: }
if Assigned(fPop) and (Count > 0) then4 b8 v; [8 f9 `* m! R9 Q
DanQuickSort(fPop, 0, Count - 1, Compare);3 P @' ]! X, y: @
end;</P>/ w2 k, c" m/ t: a5 p& k2 K4 h
<P>procedure TPopulation.SortPopulation;
' l Y) ?3 r5 P% y# @3 n4 ^begin
' x8 w' N) B! b0 T& ISort(self.CompareIndividuals);
; L, s" A, K* x: bend;</P>
' p* A8 _! g- d; q1 D$ }<P>{ TTSPController }</P>* R r6 x. N( e1 \7 ^6 ^- y/ M3 Y
<P>constructor TTSPController.Create;: F* P# `4 O- C3 |
begin" j% r* [5 e# Y
inherited;
2 G0 S6 x6 B! }$ N* O8 i; u8 w D- Bend;</P>, [+ Q4 G; t( I/ Z
<P>destructor TTSPController.Destroy;1 ^+ {3 Q# q8 Q
begin
/ ^6 ` [. s& gSetLength(FCities, 0);! j7 m: n) j2 L1 z
SetLength(FNoVehicles, 0);) ~& R0 k% }, W. {
SetLength(FVehicles, 0);& \( H( ]4 b7 W; ]6 I
inherited;
4 i. P- r9 v! ?0 C: E8 R( ]0 a$ [end;</P>
% c# W& L4 o, U) X1 x<P>{ Standard euclidian distance between two 2D vectors... }, o( b+ _5 g7 U0 Y/ h& B
function TTSPController.DistanceBetween( C1, C2: Integer): TFloat;- Q* Y+ M+ W0 f2 U3 {$ s% \1 f' V
var
6 d2 U2 g. Q& t' Ntemp:TFloat;
5 v" W/ L1 s0 M1 l; Fi,j,intTemp,intTemp2:TInt;
' d% ~$ U! K3 k0 f8 V Mbegin$ F# L# q0 W6 S/ h. N
intTemp:=0;$ U4 K- P6 k* ]; F
temp:=FormGaPara.EditWrongConstrain.Value;</P>
7 u' s. [* s9 H<P>{if (Cities[C2].id>=1)and(Cities[C2].id<=fOldCityCount)and(Cities[C1].id<>0) then
: g( U" o9 A; N* j; p8 pbegin
6 e2 s; s; t: j& Q& GfCities[C2].serviceDepot:= fCities[C1].serviceDepot;' `# D \! ?3 A. Q% m
end; //}2 N; @7 Z* \ k5 F+ Y' I
//8! F8 G# F% k2 A' l2 d: c, b1 B
if (Cities[C1].id>=1)and(Cities[C1].id<=fOldCityCount)and(Cities[C2].id>=1)and(Cities[C2].id<=fOldCityCount) then& ^$ D Y, d0 ?9 Q$ @1 w# L
begin& V- u2 L3 {. Z. k
temp:=CostArray[C1,C2];
" @( p# @$ v# Hend;
! Z% n6 a2 R, r" v* {//16 |3 G5 c% Z% z# y" t
if Cities[C1].id=0 then
2 n) h, J+ Q* a6 G8 Y0 r' ~begin/ Q2 c0 h, c2 F2 u. e! z! P9 X
for i:=0 to fDepotCount-1 do! H5 f% q) ]- U$ I% m
begin+ Y. A4 I' l6 K. c# i3 F8 t' `5 b
intTemp:=intTemp+fNoVehicles;; f9 z; w* |1 i% z: {2 ]
if Cities[C2].id =fOldCityCount + intTemp +1 then
3 y8 p/ d5 b( T% F! ytemp:=0;
1 [5 d+ M% u9 \end;
0 y+ r% O' H7 u h) uintTemp:=0;, K/ R: w0 D! S' F3 z# b
end;7 a6 l8 H. b0 Z' ` g: j" t8 f
//2
4 r G8 ]% Y' Hif Cities[C2].id=0 then
% ?. a' E; Y( o/ B3 I5 I% Lbegin2 u4 h+ f# K8 I" N& E) ~
for i:=1 to fDepotCount do
% P" v# R5 v0 dbegin- T* v% A1 ~8 z' j/ e$ u( ?
intTemp:=intTemp+fNoVehicles;: n* @) Q9 r) [2 \4 [/ f0 b7 }1 i
if Cities[C1].id =fOldCityCount + intTemp then/ M: v, q9 ^2 h
temp:=0;) G& j' q, I8 Y) c+ W9 @, A- O6 v8 Z$ E
end;5 ~7 u5 y( D8 {6 _
intTemp:=0;% U! l! P7 S% w/ i" k4 `
end;4 P- G) m7 x0 r7 W, t6 m! j
//5
2 F, _$ Q1 C; x$ pfor i:=0 to fDepotCount-1 do
) f* M/ o# s% E2 I2 O$ g9 K, J' Kbegin9 k6 k. {- P5 _: |; v3 s
intTemp:=intTemp+fNoVehicles;
/ o5 z9 v8 M C) `& N) y4 d# P{ if (Cities[C1].id=fOldCityCount + intTemp +1)and(Cities[C2].id=Cities[C1].id+1) then
! G. s* V. Z& p: u! c; l0 B7 V: }temp:=10; /////////////////////////// }* z- w5 N; T R; _ T8 G
if (Cities[C1].id>=fOldCityCount + intTemp +1)and(Cities[C1].id<=fOldCityCount + intTemp+fNoVehicles[i+1])
y2 B& O: U4 B; Land(Cities[C2].id>=fOldCityCount + intTemp +1)and(Cities[C2].id<=fOldCityCount + intTemp+fNoVehicles[i+1])
* Z5 U4 _8 p: j" I& Lthen Z9 o. ^) X3 Z5 F" c
temp:=0;//}
$ }- j" V* f' ^1 l' \2 o: F9 Nend;
7 _6 j6 [* ~0 P$ x: k. ointTemp:=0;; D: b) b- \/ E+ T, }
//7
; Q2 |, v L, M1 t# r( \if (Cities[C1].id=Cities[C2].id)and(Cities[C1].id > fOldCityCount) then
! T) M7 d3 @3 {" J/ s2 obegin6 V- A9 G( [+ z
temp:=0;5 a1 e) R! D* u- K+ E
end;& B! _* L0 y5 [5 Q, y
//3
7 X' T5 Q& K0 F: b" v Gif (Cities[C1].id > fOldCityCount)and(Cities[C2].id>=1)and(Cities[C2].id<=fOldCityCount) then
/ M" J, [0 Y% a3 }: C4 l9 fbegin
6 c& x! M( a9 b5 V//temp := Sqrt(sqr(Cities[C1].X - Cities[C2].X)+sqr(Cities[C1].Y - Cities[C2].Y));( d, [7 m- b' t1 V/ h& ]/ ?' o7 z
temp:=CostArray[C1,C2];
7 w; m' J8 |, k, f1 p4 P$ oend;9 O0 [8 X" B% Y1 b9 |; l" A
//4
; c ]8 I+ q2 `6 I' ]- ` g! Z. nif (Cities[C1].id<=fOldCityCount)and(Cities[C1].id>=1)and(Cities[C2].id > fOldCityCount) then1 h8 _, F& q' c/ {# r
begin" v9 l3 {8 _- e0 s" U7 C
//if Cities[C1].serviceDepot=Cities[C2].serviceDepot then //back to the start point6 N* L3 O3 B' t% O
temp:=CostArray[C1,C2];
3 h2 F0 B4 F8 l1 n6 H0 Pend;8 G9 }# ?- Y$ w( J1 V$ I# ]
//6
! H5 L1 K2 o9 r6 UintTemp:=0;
9 ~2 r) {; ^5 P- u5 F; [for i:=1 to fDepotCount do
* o4 f. w! F V: }8 |3 Vbegin6 ~8 n% v$ _' z$ _! f! @
intTemp:=intTemp+fNoVehicles;
6 o- e2 }6 e, r1 `1 \" Z! W! Q. fif Cities[C1].id= fOldCityCount + intTemp then
* b# m" `4 ^6 |/ Lbegin( o# w' r$ Q0 ^6 o$ D& T# R
intTemp2:=0;$ X8 R/ t( ?+ q% `% d
for j:=0 to fDepotCount-1 do* X2 @* M6 p& L8 J0 b* G* p% R
begin3 e1 s6 V. n" H3 g9 u# M j
intTemp2:=intTemp2+fNoVehicles[j];
9 q# j: ]1 r a2 r5 ~if Cities[C2].id=fOldCityCount + intTemp2 +1 then
0 R. |, d9 R6 C* {+ _if abs(Cities[C2].id-Cities[C1].id) <> fNoVehicles-1 then
2 {7 `8 W& k1 l( ?: F+ htemp:=0;1 e. G' d/ j Q, C! ]; i
end; //}</P>
+ q2 z" F+ S1 O% K<P>end;) V/ T+ y) z( w* d4 M6 t0 M
end;9 e7 h. h0 e$ _9 y6 U2 } }
intTemp:=0;
6 u' K5 |+ i k. Z/ V: D+ P8 }8 |result:=temp;8 y! p/ V. i ~& `$ D6 X
end;</P>
, l4 k4 W# u3 N" S<P>function TTSPController.CostBetween(C1, C2: Integer): TFloat; //matrix cij
/ l; |5 B Y1 T$ o3 c9 Tvar: S4 A) I. l4 \5 ]8 R( d2 l
distance:TFloat;
+ @. u- G3 k8 s, p; Mbegin- u5 V3 T( `) r' z
distance := Sqrt(sqr(Cities[C1].X - Cities[C2].X)+ sqr(Cities[C1].Y - Cities[C2].Y));
% y0 P( j0 G0 w# f/ V5 J//result:=distance+TimeCostBetween(C1,C2);, X5 w0 ]0 r+ j( g4 M3 n
result:=distance;
( d& Q4 R& {# P* l2 m7 Iend;</P>
0 s5 r1 Q+ T/ ^7 v<P>function TTSPController.TimeCostBetween(C1, C2: Integer): TFloat;
1 y3 g) E2 t% k! uvar2 N6 q2 P! m5 `- b8 f/ {
cost:TFloat;8 G+ K5 l& W: g. z" Q( E1 B
i,j,penaltyW,penaltyD:TFloat;9 z* ]$ ^$ ^( M4 a3 M' S
startTime:TDateTime;- B, `& {. ^6 Z2 L7 @/ g3 b. T g
begin, X, L5 B S5 j
startTime:=strToDateTime(FormGa.EditStartTime.Text);
2 J6 ?; \7 x/ c( t. }penaltyW:=FormGaPara.EditWaitConstrain.Value;
9 T% t" E' o9 w, w8 V- m4 TpenaltyD:=FormGaPara.EditDelayConstrain.Value;
9 H8 N: K) [' X3 R8 Bif Cities[C2].id>fOldCityCount then
W7 w5 c) ?' B' VfCities[C2].totalTime:=0
# J, m- y! T! a) Eelse
1 d: n* `' M: l9 B8 V& ]1 t) N* ffCities[C2].totalTime:=Cities[C1].totalTime+Cities[C1].serviceTime+timeArray[C1,C2];</P>
* q# c8 i2 |4 g0 [( M) ~5 }7 Z<P>fCities[C2].waitTime:= max(0,DateSpanToMin(startTime,Cities[C2].early)-Cities[C2].totalTime);
7 Y W0 L$ W4 w$ xfCities[C2].delayTime:=max(0,Cities[C2].totalTime-DateSpanToMin(startTime,Cities[C2].late));</P>0 Y# L" u1 [) a5 p8 k
<P>if Cities[C2].late<>0 then //consider time or not) J( p6 @- J* V. B, v6 R# H. B) c
begin1 c" F% C; ?% z# F
if Cities[C2].early<>0 then //window or deadline$ C, n. X; @8 ?* N- x7 o
cost:=penaltyW*fCities[C2].waitTime +penaltyD*fCities[C2].delayTime
' d+ t M1 i$ j" R: L9 [9 r$ g: r3 `else- Z/ F8 J9 K E" u
cost:=penaltyD*fCities[C2].delayTime;
9 U& E( s" O( i0 |# B2 ~end
/ Y$ T$ e0 T1 [6 ]/ melse# k" L, s9 V- R7 E: v5 y6 Q
cost:=0;. a: r, z p. ?
result:=cost;4 L" y8 g' p0 U0 A; j) }+ S9 E* |
end;</P>" i- W1 Z9 S3 P4 E) b
<P>function TTSPController.DateSpanToMin(d1,d2:TDateTime):integer;
$ J* }) m0 R5 W2 w9 mvar5 _- p: _( a" Q$ t. k
span:TDateTime;
3 r# e6 L( w7 v- U5 H% DYear, Month, Day, Hour, Min, Sec, MSec: Word;
$ K. \ {. m' T8 d3 ]9 A U$ {begin
* x/ Y6 K4 m) L0 A% |$ Xspan:=abs(d2-d1);$ o/ i$ K, C& I0 F3 j% O
DecodeDate(span, Year, Month, Day);
" G3 J$ o o/ ` [DecodeTime(span, Hour, Min, Sec, MSec);- P D$ r) c3 t4 K: M [ E* C
result:=Min;8 P5 E4 n' O9 Y
end;</P>
8 z- H! k4 Y( k7 e- N+ q<P>//return the position in the vehicles array& i$ M1 X5 f4 j/ r
function TTSPController.GetVehicleInfo( routeInt:Tint):integer;
' ?0 i5 w n3 }$ w+ \begin2 _( L+ n3 S$ R& _4 ]/ @9 I
result:=routeInt-fOldCityCount-1;
* Q7 ?0 D1 Z3 g- s( x. F' |end;</P># D+ T4 }: F* {8 |2 t, s. P. ]
<P>function TTSPController.GetWeightConstraint( Individual: IIndividual): TInt;
/ u* \, [6 s* w& K; S% Vvar
9 |& w; J* }& J9 ^- NIndi: ITSPIndividual;
, i" k* K- D# MtotalCapacity,maxCapacity: TFloat;
( L2 x3 Y3 z7 R* z8 [6 ji,j:TInt;
) t Q/ w7 i3 \5 ]tempArray:array of TInt;* U) U+ P, X5 W. T
tempResult:TInt;. G1 y0 X( e$ ]% |9 Q5 ]
begin
3 U/ [9 [: V8 f# h1 W. C" C: MIndi := Individual as ITSPIndividual;
8 S0 b3 a" |" S1 _2 t* n7 h9 \SetLength(tempArray, fCityCount+1);
. B$ i8 n6 Z JtempResult:=0;
# P1 E/ Q3 ~( B; V9 K4 ~: i/////////////////////////////////////////////////////////
9 S, N% Z, @: ]9 L: T7 Tfor i:=0 to fCityCount-1 do5 H0 T% B6 l1 j
begin
/ w$ H6 R X, }if Indi.RouteArray=fOldCityCount+1 then
9 L- g9 U( `3 U/ L% ybreak;* C, b( O" z) W8 W6 f
end;8 a$ o* Y1 {4 {) D8 V
for j:=0 to fCityCount-i-1 do: ?' @7 a" B5 Q* H' b+ u e8 F0 H4 ^
begin2 O j# A! M$ N7 f
tempArray[j]:= Indi.RouteArray[i+j];
3 G2 F& s. X8 ~' k* k7 uend;
9 t1 k8 B( u5 E. x$ V0 Ifor j:=fCityCount-i to fCityCount-1 do
- y* [1 g# r; s) K" Ibegin% M1 p5 |7 n, d+ K) o4 v* {7 K
tempArray[j]:= Indi.RouteArray[j-fCityCount+i];3 J- Z0 i) F' d2 w9 D; A$ c
end;0 r' E9 @6 `3 l" \$ P$ v# w
tempArray[fCityCount]:= tempArray[0];
8 _3 l4 e* ~% I2 A$ _5 \//////////////////////////////////////////////////////////
+ L# o. Q2 n2 k+ [3 u//totalCapacity:=fCities[tempArray[0]].supply; //supply
0 U3 z1 S- E# E7 D1 BmaxCapacity:=fVehicles[GetVehicleInfo(tempArray[0])].volume;# R: y# R' L8 S- i1 E. U5 j
totalCapacity:=maxCapacity;" \! I: j1 ]& U% }: b+ v% `( o/ L
for i:=0 to fCityCount do2 Q. R7 v7 L% [5 r! T- W2 R
begin
P+ I$ V( e. i; C6 wif (FCities[tempArray].id<=fOldCityCount)and(FCities[tempArray].id>0) then6 Q D9 X, Q7 u' g0 P0 S* ~
begin
* Q" I8 ^* m( k! P' C/ t( l |totalCapacity:=totalCapacity+FCities[tempArray].supply-FCities[tempArray].demand;
' Q1 q2 | T; a; `& d$ k9 l& mif (totalCapacity>maxCapacity)or(totalCapacity<0) then
% K1 {. V3 j' N7 i$ O) abegin- k K5 Y. \# x! w' T# S% Y
tempResult:=tempResult+1;7 S2 o" j* y" U6 ~
//break;9 b- N1 a; \' z/ P0 T3 N
end;
9 ^/ {- m) I! B5 j' n% j/ q1 oend;% p$ T+ r! \7 i: v
if FCities[tempArray].id>fOldCityCount then
9 h% ?& u0 O/ [0 Zbegin- [+ f0 E" v) K) u8 u+ ^: U0 |2 k f
//totalCapacity:=fCities[tempArray].supply; //supply# f1 j& l" V1 c. D f( ]
maxCapacity:=fVehicles[GetVehicleInfo(tempArray)].volume;
8 J% }7 O: T! w5 L% {totalCapacity:=maxCapacity;
$ t+ [4 k6 M: y( v2 ^% A% F7 t; k' hend;3 ?% S0 k3 |! P9 P2 L, a
end;& q0 Z$ _" V* a/ d0 H
SetLength(tempArray,0);* { p4 ~: k+ W7 D+ \' N
result:=tempResult;/ t3 l& d5 g* A9 f: f$ O
end;</P>
* k1 i# M& U( G9 M<P>function TTSPController.GetBackConstraint( Individual: IIndividual): TInt;. e9 I/ V M; O) m% B% `' O
var
! D% V$ s5 l7 v9 l. KIndi: ITSPIndividual;9 O8 q2 @0 `4 f8 ~$ V
i,j:TInt;. k( ]& S, L# d7 b
tempArray:array of TInt;5 {3 G. ?1 q2 x& ]+ P' C9 a
tempResult:TInt;
, r+ B( n! ]; s: K5 h3 n) A* S7 i2 Ubegin
7 d( O1 a- Y& X1 s7 U& i& n- lIndi := Individual as ITSPIndividual;
# j* F q0 w) B6 `/ OSetLength(tempArray, fCityCount+1);
' H3 a5 A, K8 [* W. O1 u% C( l2 DtempResult:=0;. a3 C4 Z3 ?$ k7 s
for i:=0 to fCityCount-1 do" M: ^: D, ?% w+ l8 a* K
begin
5 `/ Z9 }: D" lif Indi.RouteArray=fOldCityCount+1 then8 ^% V6 g7 y! {8 K1 a
break;
3 }% Z+ v7 M3 h; e1 x4 cend;
- m( V# K$ B* Q4 mfor j:=0 to fCityCount-i-1 do
9 |& u3 Y6 V1 U' Rbegin0 D* G! h0 t& M% X
tempArray[j]:= Indi.RouteArray[i+j]; N/ U" D" v; w! f# b! C
end;
4 V- W" B' ` q4 x& Y0 H. lfor j:=fCityCount-i to fCityCount-1 do3 I3 H, ^/ ^ y. I
begin
: W. r' Z" O1 H, t VtempArray[j]:= Indi.RouteArray[j-fCityCount+i];, w' K+ [/ A! m
end;
2 U+ e7 }3 k8 {# K2 ^2 ftempArray[fCityCount]:=tempArray[0];: u$ G# @$ U) \5 |( V& e1 M) _
{tempArray[0]:=11;tempArray[1]:=5;tempArray[2]:=8;tempArray[3]:=7;: u( b# H3 o; Q. S
tempArray[4]:=9;tempArray[5]:=6;tempArray[6]:=12;tempArray[7]:=10;
; p1 W* k* G# s7 btempArray[8]:=2;tempArray[9]:=4;tempArray[10]:=3;tempArray[11]:=1;- G% t5 q0 w3 @; U" E3 m$ f
tempArray[12]:=0;tempArray[13]:=11;tempArray[14]:=3;tempArray[15]:=1;
9 M6 b q) C$ Z0 f; ~) A/ ntempArray[16]:=4;tempArray[17]:=11;//10,2,2}
6 J8 D9 o3 x) l2 J6 f, o" D/ Ffor i:=0 to fCityCount-1 do: z) O# _; I9 T+ s3 W
begin
9 ]( Y, ~( {% b& H9 p2 u, ]0 vif (Cities[tempArray[i+1]].id<=fOldCityCount) then
( I* o: ]$ M! Y8 I1 j# Kbegin/ @8 g# @8 ~* n8 W+ |
fCities[tempArray[i+1]].serviceDepot:= fCities[tempArray].serviceDepot;
7 x% A! L3 r" S$ H6 n; hend;! i$ R# W! c5 G3 U0 G
if (Cities[tempArray].id<=fOldCityCount)and(Cities[tempArray].id>=1)and(Cities[tempArray[i+1]].id > fOldCityCount) then6 R8 M9 R+ I2 i5 L
begin, d7 E" O4 x: q$ Z( Y' [! l
if Cities[tempArray].serviceDepot<>Cities[tempArray[i+1]].serviceDepot then //back to the start point( u; p* k3 P) n2 Q4 c7 a6 L
begin
1 R/ Q4 S, Z0 h, GtempResult:=tempResult+1;
! G3 x. G; z/ {8 r" T// break;
! O2 ~+ u% y- P: m c/ Oend;
1 h- e: ?6 _6 T; D& k3 rend;4 z2 I; @9 ^2 S
end;
3 O/ @: M0 j( y$ I) r& fSetLength(tempArray,0);' r: Y9 u4 i7 q0 s3 O6 x
result:=tempResult;* ]% P9 y- n/ L, R* J. H- z
end; </P>
0 H- f0 f5 c+ O$ \! L<P>function TTSPController.GetTimeConstraint( Individual: IIndividual): TInt;
) g6 |( I8 B& |; \$ h+ Wvar) P! h. o" H) a8 ]8 n+ G# |. w! x
Indi: ITSPIndividual;6 K0 b. ]) X% O: h. V# [& L, O
i,j:TInt;7 b& B# v1 d- b" R! }% s8 q; N/ k
totalTimeCost:TFloat;
8 \' c6 M B' T' btempArray:array of TInt;
3 `" _- a2 c: y, y5 JtempResult:TInt;% H# g9 \/ {6 A6 @, ~6 F
begin
" {3 g% F5 B4 F* @+ V+ lIndi := Individual as ITSPIndividual;& }# g, H* H) i. a6 f2 t- Y
SetLength(tempArray, fCityCount+1);8 L0 E/ G( v4 ?7 j9 e
tempResult:=0;
; k4 l; e0 W. L3 mfor i:=0 to fCityCount-1 do" G9 \8 ^2 Z* h0 q9 n/ {6 ^
begin
& d# E5 x+ ^5 X7 O# Rif Indi.RouteArray=fOldCityCount+1 then- \+ I5 `1 @3 }# n
break;; k5 m# Z y. w9 M- [) f1 g
end;
0 d9 ~9 g' K3 g1 }for j:=0 to fCityCount-i-1 do
! p/ ^7 O3 w+ ^begin; ^$ J9 p( \ J3 P& u, R* Z
tempArray[j]:= Indi.RouteArray[i+j];
; { g3 k$ Z; iend;( h1 U9 p8 |% x; P A
for j:=fCityCount-i to fCityCount-1 do* i2 t# @% K* h' G0 {% [
begin
9 A' j+ b/ O" I( I! [tempArray[j]:= Indi.RouteArray[j-fCityCount+i];
- A3 r( o0 c! l k6 \- P I Kend;
& B& |: }6 D! w# Y3 jtempArray[fCityCount]:=tempArray[0];</P>7 x6 Y1 ~+ ]7 q& p; Z: r4 m( ^
<P>totalTimeCost:=0;$ h6 }+ K3 O& n: T+ k* E Z
for i:=0 to fCityCount-1 do0 l7 u( r$ \! z# ?
begin
7 S) e+ y. X% b" r) L& w+ xtotalTimeCost:=totalTimeCost+timeCostBetween(tempArray,tempArray[i+1]);
5 }; b2 v% e$ x( e( K: }" h& Gend;5 z/ }# |# m R; f' |
if totalTimeCost<>0 then tempResult:=1;
. q: P4 W, e2 s9 d" tSetLength(tempArray,0);
8 C, g- w' B! @* D& g5 G) ?& pend;</P>
+ }! y) ]6 v6 o/ y+ P9 D, T6 p6 d<P>function TTSPController.GetCity(I: Integer): TPoint2D;
. e) S! C" k7 u7 E7 `' @4 V! Ebegin
4 Y7 V* P9 e0 |' Jresult := fCities[I];( @/ S$ d: c- T* r: e
end;</P>
8 g. Z( T9 ]# F$ ` a: I8 v8 {<P>function TTSPController.GetNoVehicle(I: Integer): TInt;
+ @+ w. @' J H5 n4 M0 @begin( ?: w7 O0 Z2 A2 H# E. y
result := fNoVehicles[I];. O* Q) B- q" u' K9 `8 V; W
end;</P>
" o8 T5 F1 V/ G- P% y3 A<P>function TTSPController.GetCityCount: Integer;
/ k8 x" g' [# d7 `. m( B' G, Ibegin
% ~) X2 x) l- ~6 Q; @result := fCityCount;5 ~$ A4 O2 x6 R/ v, p
end;</P>
+ g% W5 t& E# R<P>function TTSPController.GetOldCityCount: Integer;
) x7 _* [* I" l+ mbegin) A7 E7 g& O# |1 F$ i
result := fOldCityCount;
7 o2 \8 {* C) |1 P8 D Mend;</P>. j3 i- c% P. r
<P>function TTSPController.GetTravelCount: Integer;
& `5 d: m ~1 P& l5 }# ?begin
! F; L7 \0 ?/ U% l+ g; ^/ ~result := fTravelCount;2 X1 j9 k& }1 L9 H7 t9 @( c; w
end;</P>
5 I1 I$ Q5 y/ u6 w7 j5 A<P>function TTSPController.GetDepotCount: Integer;
0 @! h$ D9 Y5 Fbegin$ m! E1 w6 a- i; w
result := fDepotCount;
5 N/ [: z7 `: h, ]1 Z' ]/ send;</P>9 J8 Z+ h9 R; [
<P>function TTSPController.GetXmax: TFloat;2 D& U# B j* ?/ X: \
begin. V, C6 U4 ^# g; I+ x ?" i! @
result := fXmax;
5 A+ V4 D0 ?7 rend;</P>
0 O6 }# J: C0 K2 A( p* U<P>function TTSPController.GetXmin: TFloat;) }* \. G$ w; ]- }
begin( @$ Q( ^# J/ s f
result := fXmin;
9 f6 ~8 m7 [# {" ? q/ @# V1 m1 |0 }end;</P>
, Z. w3 X* c" G3 L<P>function TTSPController.GetYmax: TFloat;
3 s- e8 Z; e; x1 g* Z$ Q' Vbegin
; K. H7 Z3 `9 ^5 v" ?result := fYmax;
* z: ^9 r* G, o% kend;</P>% b( P, O+ t* E2 V( |
<P>function TTSPController.GetYmin: TFloat;
- h2 p) z' D0 \! ^begin
3 p/ o1 ~0 W: O1 V/ D! i1 uresult := fYmin;# R1 C4 \$ v6 v5 u2 \9 k2 G" o7 L( `
end;</P>5 G5 A2 R3 I- q1 j0 P
<P>procedure TTSPController.RandomCities; //from database3 {9 @8 C8 v* l7 T+ n7 I1 g% M
var
$ f) X) ~4 s' N) |; ^: s+ ri,j,k,m,intTemp,totalVehicleCount: Integer;5 ~, E' @* y1 w1 b! R
tempVehicle:TVehicle;* t7 @. E$ {; N: O& o8 n, P1 k9 F
begin- \( {% V6 g8 x7 z
//////////////////////////////////////////////////////////( f/ o( O. q/ \
fNoVehicles[0]:=0; % O+ k+ Z/ x, c4 C
totalVehicleCount:=0;9 t/ R; E D' i
for i:=1 to fDepotCount do //from depots database
4 G- {5 Q2 v( xbegin
' R2 q* f H, R6 d1 ?fNoVehicles:=fTravelCount +1;
; J! F2 P/ O! L( Z8 l# c9 Y; AtotalVehicleCount:=totalVehicleCount+ fNoVehicles; //real and virtual vehicles
+ t2 G. m( k; Oend;0 Z" z& z" Y4 e; j* I2 a
SetLength(fVehicles,totalVehicleCount);3 o- p0 B0 c+ n; Q A
intTemp:=0;
: Q- I5 k/ e- K/ Vfor i:=1 to fDepotCount do
) B5 o1 c! N& M9 Ubegin
2 s/ N8 M$ G# V% b7 q2 x6 `: { m% Z* qfor j:=intTemp to intTemp+fNoVehicles-2 do
/ ~0 J% }2 }& B7 b# sbegin
, d2 b2 i2 [! U& xfVehicles[j].index:=j+1;6 x- A+ ~) p0 j k
fVehicles[j].id:='real vehicle';; ]0 B* o ]0 m3 g0 T& P& [
fVehicles[j].volume:=50;. r# C9 M1 @. \( ^- `4 J, i
end;
2 z, `' b0 i: g1 [4 ?0 Uwith fVehicles[intTemp+fNoVehicles-1] do
0 h( x9 s; o- Y% b% p5 a# Lbegin" P; `0 `( y0 G
index:=intTemp+fNoVehicles;
3 U- M' Y1 p8 B5 E) X( q6 U2 fid:='virtual vehicle';
# m" b4 f" @8 Dvolume:=0;
* O4 z& `4 h1 g, U6 nend;. p6 p$ G& y: D6 U ~
intTemp:=intTemp+ fNoVehicles;
+ }* W2 p( [: n! e4 }3 m. V Dend;</P>9 I$ l5 _& N# [/ p) l
<P>///////////////////////////////////////////////////////////
9 S- L" z" T" l4 B& l7 Z& qintTemp:=0;
4 c$ }, o+ V- \# `; k( x9 kfor i:=1 to fDepotCount do //depot 1--value
/ _& r, b' s) q. pbegin
# z6 w: _; B3 ZintTemp:=intTemp + fNoVehicles;
1 F) w; w. n! Xend;</P>
& x1 L9 V0 r. g7 y; x% H<P>for i := 0 to FOldCityCount do //from database
$ k# S! ~4 E% k( w7 O( I2 \; a+ R. ^begin
7 y5 a& O9 B" ]6 G2 r! BFCities.id:= i;
5 b7 e: z! K" ^! V7 XFCities.X := Xmin+0.5+(Xmax-Xmin-1.0)*Random;
* l; a% x0 b3 D" ~2 vFCities.Y := Ymin+0.5+(Ymax-Ymin-1.0)*Random;7 C- ^+ e7 l. Y6 f% i
FCities.early:=0;
" o6 ?2 U$ a6 D# g0 J+ l) CFCities.late:=0; //TDateTime
s Y/ V, ]$ P0 C+ C, uFCities.serviceTime:=0;. K2 J9 E, u) o8 ?5 f2 e
FCities.totalTime:=0;7 J! v7 j1 C/ R0 E' H
FCities.waitTime:=0;
9 t# S% K! k' Z, R8 F! ZFCities.delayTime:=0;
9 M( G9 W m/ r( ^2 Z. zend;
& h! D7 G( W8 \3 Xfor i:=FOldCityCount+1 to FCityCount-1 do
! ?% l% B0 v8 e2 e$ P5 @- C4 zbegin
' j9 P' C9 V# Y% f! B7 {FCities.id:= i;- Q1 D7 I/ I" W4 {3 \
if fDepotCount=1 then
% g+ u4 U( _! e0 u, m2 t; Gbegin
! C2 V( ~9 w/ f; r9 iFCities.X := Xmin+0.5+(Xmax-Xmin-1.0)*RandomRange(2,4)/5;, i- ^8 s% p- S* {/ ]! n
FCities.Y := Ymin+0.5+(Ymax-Ymin-1.0)*RandomRange(2,4)/5;
# Z$ r7 z7 i$ X* }end
9 z) a9 X4 q5 Qelse j9 Y0 Y; Q) ^% L5 c. f
begin
$ K0 U, N9 _5 hFCities.X := Xmin+0.5+(Xmax-Xmin-1.0)*Random;) a$ {% f( F! z
FCities.Y := Ymin+0.5+(Ymax-Ymin-1.0)*Random;/ O) p1 b5 a( b5 t" m/ S2 K3 ^
end;
; A" p7 G! V) ?* s! A, RFCities.early:=0;! b. B& n t; v% e8 ]
FCities.late:=0; //TDateTime& M3 N$ R0 r# \
FCities.serviceTime:=0;) T$ u2 I+ s1 z) @0 h, |7 V/ V
FCities.totalTime:=0;
, R$ q% ~1 P& Z% }& u* |4 KFCities.waitTime:=0;
1 ]. i8 a" }. r2 Q3 }4 V1 sFCities.delayTime:=0;
I- D# p& _( i+ F3 T+ mend;</P>7 [% c) S/ b5 ] D ^0 K( X
<P>for i := 0 to FOldCityCount do
- w/ z2 p4 s/ ]+ obegin
; P0 ^1 v: ?% R, LFCities.serviceDepot:=i;
! N% Y# ^4 R$ l7 e. q) S; eend;</P>% V. }6 ]# P% D9 A
<P>m:=FOldCityCount+1;- N5 z, Y! N9 }) m* a, S, ?
for k:=1 to fDepotCount do
4 W* @& ^! Q# V% Lbegin8 H1 [' w1 g' |8 O
for j:=0 to fNoVehicles[k]-1 do
! f4 s4 \+ _8 v: b8 bbegin
" n: n9 w! m1 d5 LFCities[m].serviceDepot:= fOldCityCount+k;& X1 @* E1 [( g' r- G) r
m:=m+1;
; J) T" d2 I6 r( Pend;2 ~. m. T& f7 [; N; u5 ?
end;</P>1 k9 B$ {2 g# g, N2 | E
<P>//supply and demand //////////////////////////from database+ x5 l( X, z x" _1 \9 P1 [ N: l1 n
FCities[0].demand:=0;. u6 S. c3 ~0 d0 |! }7 X
FCities[0].supply:=0;# ^' ?2 H; ?4 r6 a: m
for i:=1 to FOldCityCount do( g7 K( O6 _" M6 v6 d* u' n
begin+ g6 W5 o) j! ]5 z# @& O8 p
FCities.demand:=10;( t, X P |2 Q; B
FCities.supply:=0;( k% g% L- ~6 W% N7 E# w" P+ T
end;
5 h$ y+ R4 V; ]! L- T9 }& c9 hfor i:=FOldCityCount+1 to FCityCount-1 do/ ^/ C- i$ h9 T# Y' x7 P n* y4 Y
begin
) N$ H7 J, v# ]; H: p' J5 Q1 wFCities.demand:=0;# g5 v) b) D( Z v) j3 y
FCities.supply:=50;6 \9 k; y3 ~) H2 d) r8 R
end;+ W" y* Q7 K+ Y8 x- x) ~7 g& l
////////////////////////////////////////////////////////////</P>
" V" H. \4 Z2 |<P>intTemp:=0;2 N! h5 i; F+ Q
for i:=0 to fDepotCount-1 do
/ ?# R6 T: [& }begin
, a' C/ T$ x6 _intTemp:=intTemp+fNoVehicles;
) D+ X W, `) z4 b# T& n3 P( ofor j:=2 to fNoVehicles[i+1] do3 N4 V e7 w V( g+ P, a9 ~
begin
9 o/ M9 s5 ~; x- |& b6 @! d2 mFCities[fOldCityCount + intTemp +j].X :=FCities[fOldCityCount + intTemp +1].X;
* P; g* F8 F2 ~8 K. aFCities[fOldCityCount + intTemp +j].Y :=FCities[fOldCityCount + intTemp +1].Y;
7 V' D/ Q2 H' o! k2 k9 j/ t" qend;' H9 N- N! j5 c
end;
0 M0 R1 J. G6 m- E/ n& QwriteTimeArray;) S. N6 X2 [2 G1 z: j% X' r
writeCostArray;
& }8 n; D& m, |# c* rend;</P># f- Y$ B1 N1 J
<P>procedure TTSPController.writeTimeArray; //database: ?) t3 [7 E1 W* S; A6 G$ k% `% V' E
var& E5 Z8 r8 [" X
i,j:integer;$ w& e- u& V. n/ }3 Z
begin2 v p1 W. ~- |9 ~
SetLength(timeArray,fCityCount,fCityCount); I( K8 @; Q. A' p( k( }. y9 E# R
for i:=0 to fCityCount-1 do
- l4 X9 N$ Q m/ l: b4 x2 Kbegin/ `! K3 e8 R8 E" T1 w9 g% K# q3 j
for j:=0 to fCityCount-1 do
, W, f; `7 Z! J" F5 L7 c2 y" Obegin
( h$ E4 \2 P1 A/ i" W* z% Jif i=j then timeArray[i,j]:=0
. r# o4 [+ V9 B8 C5 T2 t9 [else timeArray[i,j]:=10;
( ?. k% y5 H6 t5 E& N4 Y# bend;
4 k" o1 p8 A6 Z kend;
% t2 ^( L- M& {+ N. {( U! Fend;</P>
7 J( u; B- ~/ o- U2 A<P>procedure TTSPController.writeCostArray; //database
2 E! w4 @. ]6 D& \5 S6 b' G' wvar' j; M$ M0 `0 Y, u1 V
i,j:integer;
% N0 h3 w0 N6 _9 x+ a" J& Sbegin
x$ }" \7 x: R7 C5 b2 oSetLength(costArray,fCityCount,fCityCount);
2 T" y' b+ N+ b8 f2 F# o$ Sfor i:=0 to fCityCount-1 do: @0 A* @1 w* S, T" Q' ^2 t
begin) p$ ~$ m5 t) _0 U9 [
for j:=0 to fCityCount-1 do
: J/ N5 K2 L( q( v* n9 x9 P5 i. }begin; V g$ a' I) H! U: m& s
if i=j then costArray[i,j]:=0
4 q' q6 n5 \1 a4 G" F3 p! Telse costArray[i,j]:=costBetween(i,j);
# f' s# c* ~' f) Uend;6 v8 z ?. K1 s4 Y; H5 V) s5 \
end;3 C0 Y; r# J1 l( x
end;</P>
t7 ^7 o0 Q" v: g6 ~: a i<P>procedure TTSPController.SetCityCount(const Value: Integer);6 V6 D1 y5 \% F G B; Z
begin
! x+ ^0 Z( O) u$ p; q7 [) u5 |SetLength(fCities, Value);9 [. A5 B* i7 K6 _7 a) R) @
fCityCount := Value;</P>4 z) E0 G* m' l7 y2 O! g
<P>RandomCities;
; z S9 M6 b" hend;</P>) e& E. N5 @/ K5 Y5 o5 y3 n) G
<P>procedure TTSPController.SetOldCityCount(const Value: Integer);# e# l1 f8 k( p3 T9 @
begin. R: @$ V# F: N( B0 j4 n
fOldCityCount := Value;( S. b6 q: d4 {" q( K, S
end;</P>
1 D) F8 D( M2 ]! t) J4 g* l<P>procedure TTSPController.SetTravelCount(const Value: Integer); ///////////7 W! {; O) a/ T# R! t. P
begin
9 z, L- [0 Z& p' T$ N3 q f/ a3 |fTravelCount := Value;( K5 X. y& f( Y1 e& [
end;</P>
+ E0 `6 u' z( F4 ]6 E- }. z<P>procedure TTSPController.SetDepotCount(const Value: Integer); ///////////
# B* \ ^4 V' V7 w$ Hbegin
$ q; X: i! f; \* I" ]7 aSetLength(fNoVehicles, Value+1); ///////////////4 Y8 q9 V @ k9 m D
fDepotCount := Value;
8 K) a- X' \. {( s8 e/ h$ _, @4 zend;</P>2 e, t: G$ |2 N3 e& `) C3 E
<P>procedure TTSPController.SetXmax(const Value: TFloat);
3 z$ c# J+ r& Kbegin
) u* F- ~* q( s5 L0 Q% ffXmax := Value;& v! O8 H6 P- A/ f7 W
end;</P>2 @ G& ]' u+ `9 S0 \
<P>procedure TTSPController.SetXmin(const Value: TFloat);" H- E* j5 r& r
begin+ O! M$ Z+ L- |& Z |9 U0 S, U
fXmin := Value;
7 B) P8 V3 l, Tend;</P>
' F& L) B" R5 n* x x! [1 [0 S9 x<P>procedure TTSPController.SetYmax(const Value: TFloat);
4 p N6 S' s# y% }begin4 t. s& C) R. _4 [
fYmax := Value;! Z* N' c+ O+ l+ ]4 z: D
end;</P>
- [, u6 v8 S# `8 A, F+ I, D<P>procedure TTSPController.SetYmin(const Value: TFloat);( M; L# R9 u/ y$ ?3 _1 B5 [/ Y
begin
+ a: O( u0 H* b+ d7 UfYmin := Value;
, @3 @* w H% `, i- Iend;</P>
9 s" }* c) n8 M* d J4 T<P>end.
+ ?# ]6 a! I5 P/ l2 I$ I</P></DIV>
1 m+ J" W. @2 i( I[此贴子已经被作者于2005-4-27 15:51:02编辑过] |
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