%遗传算法 VRP 问题 Matlab实现
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
clear;clc
load matlab.mat
Sup_Parent=[3 6 7 17 18 5 8 16 19 15 26 25 4 27 29 2 9 14 20 28 30 31 13 22 21 24 11 12 23 10]-1;
G=100;%种群大小
Parent=rand(G,30);%随即父代
for i=1:G
[m n]=sort(Parent(i,:)); %初始化数据
Parent(i,:)=n;
end
Pc=0.8;%交叉比率
Pm=0.2;%变异比率
species=[Sup_Parent;Parent];%种群
children=[];%子代
%fitness_value(4070,1)=0;%适应值
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
g=input('更新时代次数');
for generation=1:g
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
Parent=species;%子代变成父代
children=[];%子代
%选择交叉父代
[n m]=size(Parent);
% select=rand(1,n)<Pc;
% select=find(select==1);
%交叉
for i=1:n
for j=i:n
if i~=j & rand<Pc
jiaocha
end
end
end
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
for i=1:n
if rand<Pm
parent=Parent(i,:);%变异个体
X=floor(rand*30)+1;
Y=floor(rand*30)+1;
Z=parent(X);
parent(X)=parent(Y);
parent(Y)=Z; %变异
children=[children;parent];
end
end
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%计算子代适应值
[m n]=size(children);
fitness_value_c=zeros(m,1);%子代适应值
for i=1:m
l1=1;
for l2=1:n
if sum(data(children(i,l1:l2),3))>25
fitness_c
l1=l2;
end
if l2==n
l2=l2+1;
fitness_c
end
%计算适应值
end
end
%计算父代适应值
[m n]=size(Parent);
fitness_value_P=zeros(m,1);%父代适应值
for i=1:m
l1=1;
for l2=1:n
if sum(data(Parent(i,l1:l2),3))>25
fitness_P
l1=l2;
end
if l2==n
l2=l2+1;
fitness_P
end
end
end
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%淘汰子代
[m n]=sort(fitness_value_c);
children=children(n(1:G),:);
fitness_value_c=fitness_value_c(n(1:G));
%淘汰父代
[m n]=sort(fitness_value_P);
Parent=Parent(n(1:G),:);
fitness_value_P=fitness_value_P(n(1:G));
%淘汰种群
species=[children;Parent];
fitness_value=[fitness_value_c;fitness_value_P];
[m n]=sort(fitness_value);
species=species(n(1:G),:);
fitness_value=fitness_value(n(1:G)); %更新世代
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
end
species(1,:)%最优线路
fitness_value(1)%最优费用
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基于MATLAB实现的VRP问题的遗传算法程序+使用说明文档.zip
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CSDN IT狂飙上传的代码均可运行,功能ok的情况下才上传的,直接替换数据即可使用,小白也能轻松上手 【资源说明】 基于MATLAB实现的VRP问题的遗传算法程序+使用说明文档.zip 1、代码压缩包内容 主函数:main.m; 调用函数:其他m文件;无需运行 运行结果效果图; 2、代码运行版本 Matlab 2020b;若运行有误,根据提示GPT修改;若不会,私信博主(问题描述要详细); 3、运行操作步骤 步骤一:将所有文件放到Matlab的当前文件夹中; 步骤二:双击打开main.m文件; 步骤三:点击运行,等程序运行完得到结果; 4、仿真咨询 如需其他服务,可后台私信博主; 4.1 期刊或参考文献复现 4.2 Matlab程序定制 4.3 科研合作 功率谱估计: 故障诊断分析: 雷达通信:雷达LFM、MIMO、成像、定位、干扰、检测、信号分析、脉冲压缩 滤波估计:SOC估计 目标定位:WSN定位、滤波跟踪、目标定位 生物电信号:肌电信号EMG、脑电信号EEG、心电信号ECG 通信系统:DOA估计、编码译码、变分模态分解、管道泄漏、滤波器、数字信号处理+传输+分析+去噪、数字信号调制、误码率、信号估计、DTMF、信号检测识别融合、LEACH协议、信号检测、水声通信 5、欢迎下载,沟通交流,互相学习,共同进步!
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