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升级   89.25% TA的每日心情 | 开心 2013-11-20 13:38 |
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签到天数: 20 天 [LV.4]偶尔看看III
 群组: 数学建模培训课堂1 群组: C题讨论群 |
以下是遗传算法解决TSP问题的的代码,可是运行时报错了,请知道的大虾告诉以下报错的原因啊!!!
1 k* T) x* ?( D5 u+ BdistTSP.txt9 P6 ?/ m$ @: o6 {) T
0 6 18 4 8
" L5 L$ ^8 N$ q# r7 0 17 3 7+ O& Y- ?2 S% e
4 4 0 4 5: Q+ E6 X. N1 L5 T
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8 8 16 6 0
0 e3 b, T% j k/ g: r%GATSP.m6 ~; _6 E' \& x0 |0 R
function gatsp1()
1 y. B# X7 L+ S7 l7 aclear;7 J8 ?5 ~* D& ~) I
load distTSP.txt;
4 X5 u: I# L' E/ K( Jdistance=distTSP;
7 {( S* n% e" Y5 ~+ u8 {+ |N=5;2 G6 @; e& B" [# R( M
ngen=100;, Z4 s9 R. l7 f L+ e# h
ngpool=10;3 T R2 D8 K. n2 }- _: S w4 M
%ngen=input('# of generations to evolve = ');: D' W7 d; j' n, [; {& _% ~
%ngpool=input('# of chromosoms in the gene pool = '); % size of genepool0 E1 X4 g+ u6 ]. G
gpool=zeros(ngpool,N+1); % gene pool
4 e1 x9 x6 C8 S" e% e/ f: V2 Rfor i=1:ngpool, % intialize gene pool6 ]) Y' p2 O9 n
gpool(i, =[1 randomize([2:N]')' 1];
; e) X8 o8 e: f, E+ k3 Sfor j=1:i-1
7 p$ k: e0 T5 T5 e: qwhile gpool(i, ==gpool(j, 2 \' W# X; o0 [! \0 p# h: W
gpool(i, =[1 randomize([2:N]')' 1];/ L. b8 w# b8 w4 e8 O4 j. A
end" R! ^ s+ r+ |% r/ v* e# ]% d
end _9 O$ s! m' n1 L9 v
end
0 S- N( D/ g1 f- z" I# ccostmin=100000;
3 ~6 m( K( ?: t5 U& U0 ]; J tourmin=zeros(1,N);- B3 w" X5 V9 m: K7 U4 K0 i, |5 a
cost=zeros(1,ngpool);* S6 F( W! R. N ^/ Q2 A- q
increase=1;resultincrease=1;
* b+ Q% K7 V! J) Q- n, g* |8 D for i=1:ngpool,# O8 y2 h5 ` A0 o. U
cost(i)=sum(diag(distance(gpool(i, ',rshift(gpool(i, )')));# m5 F1 Q+ `: B% B
end( q8 a/ b3 }) P+ X" B: y, F
% record current best solution a7 I* ?# q+ G) O
[costmin,idx]=min(cost);
: C/ v5 B0 R: _tourmin=gpool(idx, ;
+ F7 F5 C, T# T1 L+ pdisp([num2str(increase) 'minmum trip length = ' num2str(costmin)]). W q; w0 v9 C
costminold2=200000;costminold1=150000;resultcost=100000;: X% i/ q* M5 `2 Q+ c+ i
tourminold2=zeros(1,N);1 g8 o; w( B9 G3 [
tourminold1=zeros(1,N);. Y5 D- y6 N$ x
resulttour=zeros(1,N);' a6 ~ V; X4 n3 |# f8 A9 w
while (abs(costminold2-costminold1) ;100)&(abs(costminold1-costmin) ;100)&(increase ;500)& @3 h+ v T# C4 V
costminold2=costminold1; tourminold2=tourminold1;
9 M7 G6 N6 ]4 j2 P/ E0 ecostminold1=costmin;tourminold1=tourmin;) s" U+ v( @" N2 P0 m/ z
increase=increase+1;, R% S6 _% Q& G: G& f
if resultcost>costmin Q! `# C1 Z. A, N) w: f
resultcost=costmin;
% q9 A' H$ S/ I }9 D* G5 { resulttour=tourmin;
9 s, D. K8 Z- S3 N resultincrease=increase-1;
5 u( t7 V' h, o! T9 Z9 N end
4 J% ~9 Y# j1 [' F G Hfor i=1:ngpool,* ?" M6 I, |$ X, l
cost(i)=sum(diag(distance(gpool(i, ',rshift(gpool(i, )')));
: h& o9 v" X# |: Wend0 A6 Q" B* L" k) G- r L* _
% record current best solution
: U K$ _" v+ s$ c6 P6 F4 J J[costmin,idx]=min(cost);
. N5 Z u+ T* z7 I6 g+ Etourmin=gpool(idx, ;! w" l- U7 C! v# R) L6 ~
%==============0 Z$ d+ O+ P6 O9 j. U( B: h
% copy gens in th gpool according to the probility ratio
: _/ m1 |! h( f% U% >1.1 copy twice( ^. u+ l' F Y2 h2 e3 y
% >=0.9 copy once, R! E( N4 w5 ^# z7 C, w n! U
% ;0.9 remove
+ S1 q$ X1 L6 U# l[csort,ridx]=sort(cost);9 X3 |. d7 L5 d5 K
% sort from small to big.5 j! G3 r' G% C/ A$ ~* G
csum=sum(csort);% Z% \+ a% s2 u' s7 l( {' x# w1 _& l
caverage=csum/ngpool;# p0 I Y' p- |2 {8 |: `. B" o
cprobilities=caverage./csort;9 ]/ @/ K: {3 L+ J" X
copynumbers=0;removenumbers=0;
7 }/ J2 t# J7 r8 j8 mfor i=1:ngpool,# H! p0 _* ?: @
if cprobilities(i) >1.1
/ N4 i# ` i/ @9 ] copynumbers=copynumbers+1;5 j, l5 I7 A/ c: N i3 S( B( x
end, B( Q/ V# P) `% t. @
if cprobilities(i) <0.9
0 L* `: o# M* I7 X. F2 _0 D) O$ S removenumbers=removenumbers+1;. z5 |& L9 z. ?% q9 _- ^! l' }; ^
end
0 e; h! K# ]* {, ~6 G ~6 a end
, P* e' J4 Q5 x4 l; ?" Z V copygpool=min(copynumbers,removenumbers);0 x) z( p% X# _% d" o
for i=1:copygpool$ B& C" z) B4 j' J9 \8 H; a
for j=ngpool:-1:2*i+2 gpool(j, =gpool(j-1, ;5 Q$ O3 Y8 _" e+ I6 R# W7 k1 k
end/ n1 _; B) O0 W9 [) R$ y
gpool(2*i+1, =gpool(i, ;" h& D) h" |+ d
end# J2 w6 e; s6 P) C1 G9 {
if copygpool==0
% A: Q( A/ ~- k' |5 X; N5 z1 W gpool(ngpool, =gpool(1, ;. f! Z+ B# h5 f6 X- r) E( o1 [# Y
end: m. _$ L$ [0 H
%=========
2 d, f+ y. Q% m3 k- L# B3 Q%when genaration is more than 50,or the patterns in a couple are too close,do mutation6 ~. J& [5 |; R' y: s. ~# P
for i=1:ngpool/2
`. I5 E1 Y/ e' G9 j; y %
) _/ ]7 A+ g* P! R3 ^; Y$ E7 dsameidx=[gpool(2*i-1, ==gpool(2*i, ];
: Z# [: w! g* j! x0 Kdiffidx=find(sameidx==0);
) c3 Q4 l, Z- [" P: X d+ ~5 S if length(diffidx)<=2; G7 T* h+ T" `! [; G2 I0 ]+ @) p
gpool(2*i, =[1 randomize([2:12]')' 1];: g! T& d6 H9 |5 T9 E
end1 P$ L! n6 U) C, s( _3 Q
end
) V9 D! N; ?7 F8 a; ]%===========
& @8 n8 q8 Y& N" b%cross gens in couples
7 E. J% g5 W7 g+ H for i=1:ngpool/2
6 x0 w2 `8 ]: ] [gpool(2*i-1, ,gpool(2*i, ]=crossgens(gpool(2*i-1, ,gpool(2*i, );
; z' \6 N' \3 k9 m end
" X# O; E$ ? Q; R for i=1:ngpool,
. ^* Q1 \: _2 g cost(i)=sum(diag(distance(gpool(i, ',rshift(gpool(i, )')));
- U0 A! [, _1 h, m7 k end. C! W6 T8 ?- `* T- ~! d, M I: @
% record current best solution
; x/ D1 U6 K3 h+ a[costmin,idx]=min(cost);
, ^- w. ~/ v5 J4 D8 h/ Z+ \tourmin=gpool(idx, ;0 W! K3 [9 | Q& R
disp([num2str(increase) 'minmum trip length = ' num2str(costmin)])1 n. O' c' \4 J0 k& `
end
1 l( g) V8 q0 d: Z n: w2 c( Udisp(['cost function evaluation: ' int2str(increase) ' times!'])% [! {% c% M& d5 v
disp(['n:' int2str(resultincrease)])
9 L# n3 h" t- p: h( d8 A6 H6 Mdisp(['minmum trip length = ' num2str(resultcost)])
1 [0 X8 J0 W1 O2 i( B4 `' _disp('optimum tour = ')* v. M7 J* z6 D/ g) u: X2 H1 y
disp(num2str(resulttour))! o% {* i- @+ @ }8 \2 j: T8 u
%====================================================1 w' I3 m" r: C; y" d7 h
function B=randomize(A,rowcol)
4 R2 Q9 M% _8 \7 d- B% Usage: B=randomize(A,rowcol)8 P4 s) Y8 M$ T1 G" M( @
% randomize row orders or column orders of A matrix
) z# K% e/ l& w8 d% F# s- N" I1 _% rowcol: if =0 or omitted, row order (default)
# v% W# L& B8 Z8 H4 o) j2 q% if = 1, column order& I" f$ Q8 f* j& x
rand('state',sum(100*clock))' @ B# B1 {6 k/ ^
if nargin == 1,6 w+ W5 Y, u+ c5 ?9 q( o
rowcol=0;
! t8 u+ ]+ B5 X3 q9 f3 m, j7 i$ ~7 dend
% {2 q: R3 C- A+ @, k- P$ Z if rowcol==0,# M0 m1 t1 r* e0 K8 u3 d
[m,n]=size(A);, y- X% K, @! r0 M" m
p=rand(m,1);: I, B( {2 p: B- |
[p1,I]=sort(p);7 F$ j# n" j% d, }1 |6 m. J6 W
B=A(I, ;
2 E( L3 [& u, P! s0 @7 g. Oelseif rowcol==1,, I/ }) }4 ~: c% T! D% @5 j
Ap=A';, B8 R+ a7 b3 g; e4 N
[m,n]=size(Ap);7 W& Z8 ^; Z* \& z* r& ?! H
p=rand(m,1);
5 c+ _! S5 I% e7 h [p1,I]=sort(p);
/ v+ ]. {% w1 y3 _- [; C S B=Ap(I, ';. ? g3 c f9 V6 H* x# h* ?1 L0 R
end3 P5 `$ U' n4 S" F6 i5 o7 k
%=====================================================+ I/ N/ \. L k
function y=rshift(x,dir)+ d. t) K- |6 g, S9 q
% Usage: y=rshift(x,dir): `1 M" ^" g, ]2 a! I8 S% P) r
% rotate x vector to right (down) by 1 if dir = 0 (default)
# m" p7 T6 G. c6 g2 R5 W% or rotate x to left (up) by 1 if dir = 1* d$ T% Y4 q) @8 m% z3 _
if nargin ;2, dir=0; end
- R. W5 d9 T8 q% d- ^, {5 E[m,n]=size(x);& q' Y. r/ Q }
if m>1,# ^; w# t: ]. ~( w( X5 b
if n == 1,1 } q2 Q) G7 P* L3 u( o
col=1;6 t/ S/ d8 Q7 K. V; p
elseif n>1,3 F. u' _+ Y& l5 ]
error('x must be a vector! break');4 t" L' w' _9 E Y
end % x is a column vectorelseif m == 1,
( J) q/ z# ^! W* R3 [7 Rif n == 1, y=x;& _! P2 t* H9 q; q- L
return: Y" y! f# H* b% X. s- E. H
elseif n>1,
1 b8 \; o; ]) A; o col=0; % x is a row vector endend
& d3 ^4 T! C3 ^% Lif dir==1, % rotate left or up# p" Y* a% s% D+ p. M) f
if col==0, % row vector, rotate left" o9 Z7 d" I# Z7 }2 v( L1 E
y = [x(2:n) x(1)];
( b$ I6 z0 B! G3 M' u+ F elseif col==1,
1 h; \$ W ]1 Z+ n! v2 U1 _% R y = [x(2:n); x(1)]; % rotate up
" T) z) V9 O9 _# }( `4 I% Yend6 y" ?) @/ D) X- U
elseif dir==0, % default rotate right or down# i* E/ L* }4 M z! y. y9 Y) b
if col==0,
8 E% k! q' I1 v/ h+ { y = [x(n) x(1:n-1)];' a( V6 M0 F6 U/ L+ f
elseif col==1 % column vector' C" t0 r2 v" A. h8 x
y = [x(n); x(1:n-1)];
+ |& z. X3 ]8 ?' x! ~$ v end
( i) K7 s) E' m* |) X7 `6 | end5 l* K4 b' e. E$ ~/ c
%==================================================: R8 r) h8 n4 Y; P' ?+ e# H
function [L1,L2]=crossgens(X1,X2)
0 N0 ?: w1 g& c8 X; B v% Usage:[L1,L2]=crossgens(X1,X2)0 w. y3 s# F8 t. e) [* g0 \/ a7 t6 j
s=randomize([2:12]')';$ `& j; T, W+ S. S+ t1 A5 }& d
n1=min(s(1),s(11));n2=max(s(1),s(11));
6 u H" ~. y7 iX3=X1;X4=X2;) e6 N( z: u2 U5 X, b" B# @
for i=n1:n2,
; A# T$ i9 \/ s' Y1 \1 D, b for j=1:13,
+ \5 N( C# d' ^* e if X2(i)==X3(j),
6 I. J. n4 S/ m/ A# k! K: [ X3(j)=0;. Z) ^6 m6 Y" ?# b
end' j9 _1 Y. ^# ]8 ^3 b5 G
if X1(i)==X4(j), X4(j)=0;! Z5 E. ?1 y h3 F2 R
end, a0 S: N8 S9 R
end9 w( x, |* K( a* ]& G* [
end* L1 `1 s, q9 H9 m9 e" l
j=13;k=13;
8 ~% K' h. |$ b+ M for i=12:-1:2,' n4 C0 m4 @: {
if X3(i)~=0,
; w1 ?5 t% m8 N7 Y7 @ j=j-1;; G. i# _: ~' [* x1 V6 P
t=X3(j);X3(j)=X3(i);X3(i)=t;
; e. g, D, A/ j o" o9 `% g end
/ \5 F9 b8 U* g9 R- L if X4(i)~=0,
% X1 t" x1 I1 F+ Z# X k=k-1;3 m/ X) L4 ]0 K. M1 N
t=X4(k);X4(k)=X4(i);X4(i)=t;4 _1 k! y/ t4 }: h! _9 |
end
4 r. }! i" f8 X: ~ end
2 e9 L# D- T; m/ y for i=n1:n2
! v! X4 P4 {3 \' ? X3(2+i-n1)=X2(i);
; i+ i" I8 S0 r2 b X4(2+i-n1)=X1(i);
- L) A3 n& R' `4 l! @) P end6 V) d8 e; L: I8 p" m4 e9 H
L1=X3;L2=X4;
' ^ ?5 V5 h# N: D%======================= |
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