www.gusucode.com > 粒子群算法 matlab求解源码及结果 > 粒子群算法 matlab求解源码及结果/粒子群算法 matlab求解源码及结果/粒子群算法源代码/SAPSO.m

    function [xm,fv] = SAPSO(fitness,N,c1,c2,wmax,wmin,M,D)
format long;
%------初始化种群的个体------------

for i=1:N

    for j=1:D

        x(i,j)=randn;  %随机初始化位置

        v(i,j)=randn;  %随机初始化速度

    end

end

%------先计算各个粒子的适应度----------------------

for i=1:N

    p(i)=fitness(x(i,:));

    y(i,:)=x(i,:);

end

pg=x(N,:);             %Pg为全局最优

for i=1:(N-1)

    if fitness(x(i,:))<fitness(pg)

        pg=x(i,:);

    end

end

%------进入主要循环------------

for t=1:M

    for j=1:N
        fv(j) = fitness(x(j,:));
    end
    fvag = sum(fv)/N;
    fmin = min(fv);
    for i=1:N

        if fv(i) <= fvag
            w = wmin + (fv(i)-fmin)*(wmax-wmin)/(fvag-fmin);
        else
            w = wmax;
        end
        v(i,:)=w*v(i,:)+c1*rand*(y(i,:)-x(i,:))+c2*rand*(pg-x(i,:));

        x(i,:)=x(i,:)+v(i,:);

        if fitness(x(i,:))<p(i)

            p(i)=fitness(x(i,:));

            y(i,:)=x(i,:);

        end

        if p(i)<fitness(pg)

            pg=y(i,:);

        end

    end

end

xm = pg';

fv = fitness(pg);