caculate.m

介绍了粒子群模拟退火算法在函数优化中的应用

%该函数同时提供若干种测试函数，计算各测试函数的适应值
function fitness = caculate(pop,n,m)

%Rastrigin函数
% for i = 1:n
%     fitness(i) = 0;
%     for j = 1:m
%         fitness(i) = fitness(i) + pop(i,j)^2 - 10*cos(2*pi*pop(i,j)) + 10;
%     end
% end

%Griewank函数
for i = 1:n
    a = 0;
    b = 1;
    for j = 1:m
        a = pop(i,j)^2 + a;
        b = cos(pop(i,j)/sqrt(j))*b;
    end
    fitness(i) = a/4000 - b + 1;
end

%Schaffer函数
% for i = 1:n
%     fitness(i) = 0.5 + (sin(sqrt(pop(i,1)^2 + pop(i,2)^2))^2 - 0.5)/(1.0 + 0.001*(pop(i,1)^2 + pop(i,2)^2))^2;
% end

%Rosenbrock函数
% for i = 1:n
%     fitness(i) = 0;
%     for j = 1:m-1
%         fitness(i) = fitness(i) + 100*(pop(i,j+1)-pop(i,j)^2)^2 + (pop(i,j) - 1)^2;
%     end 
% end

% %Parabola函数
% for i = 1:n
%     fitness(i) = 0;
%     for j = 1:m
%         fitness(i) = fitness(i) + pop(i,j)^2;
%     end
% end