基于Matlab实现遗传算法（源码）.rar

clear;clc;close all; %%遗传参数设置 NUMPOP=100;%初始种群大小 irange_l=-1; %问题解区间 irange_r=2; LENGTH=22; %二进制编码长度 ITERATION = 10000;%迭代次数 CROSSOVERRATE = 0.7;%杂交率 SELECTRATE = 0.5;%选择率 VARIATIONRATE = 0.001;%变异率 %初始化种群 pop=m_InitPop(NUMPOP,irange_l,irange_r); pop_save=pop; %绘制初始种群分布 x=linspace(-1,2,1000); y=m_Fx(x); plot(x,y); hold on for i=1:size(pop,2) plot(pop(i),m_Fx(pop(i)),'ro'); end hold off title('初始种群'); %开始迭代 for time=1:ITERATION %计算初始种群的适应度 fitness=m_Fitness(pop); %选择 pop=m_Select(fitness,pop,SELECTRATE); %编码 binpop=m_Coding(pop,LENGTH,irange_l); %交叉 kidsPop = crossover(binpop,NUMPOP,CROSSOVERRATE); %变异 kidsPop = Variation(kidsPop,VARIATIONRATE); %解码 kidsPop=m_Incoding(kidsPop,irange_l); %更新种群 pop=[pop kidsPop]; end figure x=linspace(-1,2,1000); y=m_Fx(x); plot(x,y); hold on for i=1:size(pop,2) plot(pop(i),m_Fx(pop(i)),'ro'); end hold off title('终止种群'); disp(['最优解：' num2str(max(m_Fx(pop)))]); disp(['最大适应度：' num2str(max(m_Fitness(pop)))]);