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【求助】谁帮忙看下我编写的进化规划算法(EP)，优化结果总是不对
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在matlab中编写了基本的进化规划算法，用测试函数试了一下，但总是不正确，自己找不出毛病，哪位高手帮忙看下，谢过了！ %EP program 主程序 %initial population clc;clear; pop_size = 100; dimension = 30; MaxIteration = 2000; xmax = 100; xmin = -100; score = zeros(1,2*pop_size); p = 10; for k = 1:dimension X(:,k)= unifrnd(xmin,xmax,pop_size,1); end ETA = 3*ones(pop_size,dimension); % begin iteration for iter = 1:MaxIteration % calculate function value for i = 1 : pop_size Funcvalue(i) = f1(X(i,: )); end min(Funcvalue) %create offspring for i = 1 : pop_size % rnd = rand(1); rnd = normrnd(0,1,1,1); rnd2 = normrnd(0,1,1,dimension); rnd3 = normrnd(0,1,1,dimension); exponent = rnd./(sqrt(2*dimension)) + rnd2./sqrt(2*sqrt(dimension)); NewETA(i, : ) = ETA(i,: ).*exp(exponent); NewX(i,: ) = X(i,: ) + rnd3.*NewETA(i,: ); end ETA = NewETA; %calculate offspring's fitness for i = 1 : pop_size NewFuncvalue(i) = f1(NewX(i,: )); end % put parent's and offspring's fitness into a variable compFunValue = [Funcvalue, NewFuncvalue]; UnitX = [X;NewX]; compIndex = floor(rand(1,p).*2*pop_size); for i = 1 : p while compIndex(i) == 0 compIndex(i) = floor(rand*2*pop_size); end end score = zeros(1,2*pop_size); % condult the pair comparison for i = 1 : 2*pop_size for j = 1 : p if compFunValue(i) < compFunValue(compIndex(j)) score(i) = score(i) + 1; end end; end id(1:2*pop_size) = 1 : 2*pop_size; [Y, ID] = BiDirectionBubble(score,id); %sort the parent and offspring for i = 1 : pop_size X(i,: ) = UnitX(ID(i),: ); end end; % f1.m 测试函数 function y=f1(x) % This is sphere function % x is a vector d=length(x); y=0; for k=1:d y=y+x(k)^2; end % sort function function [Y3,ID]=BiDirectionBubble(x,id) runtimes=size(x,2); low=1;up=runtimes; while up>low t=low; for i=low:up-1; if x(i) x(i)=x(i+1); x(i+1)=temp; idtemp=id(i); id(i)=id(i+1); id(i+1)=idtemp; t=i; end; end; up=t; for i=up:-1:low+1; if x(i)>x(i-1); temp=x(i); x(i)=x(i-1); x(i-1)=temp; idtemp=id(i); id(i)=id(i-1); id(i-1)=idtemp; t=i; end; end; low=t; end; Y3=x; ID=id; |
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