本帖最后由 瞿培华 于 2012-2-18 17:26 编辑 3 f8 Z4 m5 R. S; ^" [ ! m o% J6 h* c% Gglobal pop; %种群3 m' |- |3 t; a" { l* e
global c1; %个体最优导向系数 , x8 u8 t# Z6 e$ t7 W( ~9 U0 b/ | _global c2; %全局最优导向系数) f/ p0 k# E+ \" d
global gbest_x; %全局最优解x轴坐标 * m' A; Y) u7 E) Y- e3 |* Gglobal gbest_y; %全局最优解y轴坐标* K5 R) `9 p4 I2 P6 p- T8 n8 \% K3 W& m
global best_fitness; %最优解! ~* t w3 c" N" Q% _
global best_in_history; %最优解变化轨迹 9 [- O8 e7 R+ }7 E8 cglobal x_min; %x的下限 9 P- n0 i9 C9 D2 L" Xglobal x_max; %x的上限 - y) @0 f" N4 A4 W- sglobal y_min; %y的下限5 }; U5 L* b6 `% P) m' o
global y_max; %y的上限+ r7 G: T( y! g8 n( d
global gen; %迭代次数 * W5 W. S0 h) _7 r2 \global exetime; %当前迭代次数 2 B8 j0 C7 E! Z9 q! x; \8 p0 {# Gglobal max_velocity; %最大速度 9 Y7 ~6 G& B3 I4 E! D' [0 G" _/ f( Z4 } G
innitial; %初始化" R. H; d" r; J8 W+ N% C* y. c- P
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for exetime=1:gen& p2 N: v1 c; T
outputdata; %实时输出结果 - X& I9 f/ u$ U adapting; %计算适应值! C# ?2 K! F" |$ o. _8 o' H: S, a
errorcompute(); %计算当前种群适值标准差 4 p6 B+ o% Q: k! n8 P+ T8 \ updatepop; %更新粒子位置1 l( q4 ~" ~# d# s6 J8 R
pause(0.01);4 T# v: T. [% ]
end . C( g7 g5 Q9 o, l0 V/ ~# e6 p5 @
clear i;5 \$ T$ S6 @ _8 L/ y
clear exetime; 6 z, I+ N+ p6 X, E" d7 l$ _2 vclear x_max;1 M+ A/ l7 V: @
clear x_min;9 X# ^& ]3 t/ A. t/ M; @
clear y_min;1 z3 r8 `' \$ a6 m8 m1 A6 ?! [
clear y_max;9 K- \ M. F5 j5 E: V# e
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for i=1:popsize% c2 G0 f r! V ^. [7 x5 U! b
pop(i,8)=100*(pop(i,1)^2-pop(i,2)^2+(1-pop(i,1))^2);3 _& Q. _( n7 v, M1 A* G q! Z
if pop(i,7)>pop(i,8) " a8 H0 m( S# n& ? pop(i,7)=pop(i,8);* ^# D% Q# ~7 T$ c5 n2 e
pop(i,5:6)=pop(i,1:2); 0 f0 G, q* r) x' l end1 Y. \5 x* q! {
end% a/ i) q1 Q, Y4 K2 ] B' D
if best_fitness>min(pop(:,7)) - i2 D9 g1 t3 x: e) P best_fitness=min(pop(:,7)); 5 n# g2 g7 _, U, P; M6 n) a4 ~ gbest_x=pop(find(pop(:,7)==min(pop(:,7))),1); 8 L( k( T/ o7 C% R gbest_y=pop(find(pop(:,7)==min(pop(:,7))),2); / R2 I9 C" L/ L5 V& U& C9 Uend' ?1 H$ r: X. [% e, v
best_in_history(exetime)=best_fitness; 8 a; z; G# [, p. |6 Z& { Tgen=100; . Q- {& ?9 S! h# H1 l6 u Wpopsize=30;" E6 v' B" _; m% E( p, b- `% D% x
best_in_history(gen)=inf;% \( v2 I$ s& k* q# y; H9 ~
best_in_history(: )=inf;" _) W U" t. q; f5 K
max_velocity=0.3;/ h1 D r' z/ H+ A
best_fitness=inf;* j T" j1 A4 Y+ q! }
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pop(popsize,8)=0; . r- S6 N' R3 F( D- b2 }for i=1:popsize: g% X$ b- Z: |9 @/ A
pop(i,1)=4*rand()-2; " O x) x' G; X7 e pop(i,2)=4*rand()-2;) B) J# F7 T8 V( \* C7 I- {( d
pop(i,5)=pop(i,1); * ]$ W$ h. I0 C+ S; J pop(i,6)=pop(i,2); . g* p t$ v. h* t0 X# e pop(i,3)=rand()*0.02-0.01; ) s6 ~4 L. g! z% E! p. m. r pop(i,4)=rand()*0.02-0.01; 8 s7 @9 ~( R7 p+ C' P2 p9 v pop(i,7)=inf; ; r! ]7 ~. s: x pop(i,8)=inf; # U. ]" T8 ^; f# ~+ \end' A* Q3 j" p6 R
) ]& q% e( p0 x0 O u) @c1=2;) F2 B6 [, c5 c- t3 k1 R7 B
c2=2; + n7 F0 V, B! r- Ax_min=-2; 7 D$ A& E% I& k0 Z. Yy_min=-2;. r6 n2 \, r; X6 [: ?5 Q! c
x_max=2; : D% Z3 n& w$ J. F9 J' @# h/ Q! ry_max=2;) r! l$ k; d! p* [! G
; J0 |6 A1 Z/ S0 ~( A* fgbest_x=pop(1,1); / n# R0 z& r: M4 C9 q; `gbest_y=pop(1,2); - f) |: |' p' G' T7 C! tsubplot(1,2,1);9 X' Z0 X/ M: S; Z* b6 g
for i=1:popsize: K) f( ^$ E% V% l
plot(pop(i,1),pop(i,2),'b*'); A) C2 R: @1 j; Z8 e2 z' z
hold on;( q6 x0 a9 Q7 T4 M) h0 L6 Y
end5 N% r4 Z2 P: c; h9 j
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plot(gbest_x,gbest_y,'r.','markersize',20);axis([-2,2,-2,2]) g, B" a8 s7 E( C# Z8 m
hold off; + p8 u' i8 A0 P& H6 @4 F) f# l: w+ [subplot(1,2,2);6 V; h. {# v# X$ \% E/ `4 v
axis([0,gen,-0.00005,0.00005]);2 t/ M$ d0 `) w6 z' r) y
- { @4 r& d K3 i% k" zif exetime-1>0 , L% [! i* F) y, T line([exetime-1,exetime],[best_in_history(exetime-1),best_fitness]);) y7 A' d: R1 t. \* J4 V- L
hold on; 9 b4 O- [; R$ f3 |2 ^end& j" E! F7 {& Q. h+ G }# R( y