%D 距离矩阵
%NIND 为种群个数
%X 参数是中国34个城市的坐标(初始给定)
%MAXGEN 为停止代数,遗传到第MAXGEN代时程序停止,MAXGEN的具体取值视问题的规模和耗费的时间而定
%m 为适值淘汰加速指数,最好取为1,2,3,4,不宜太大
%Pc 交叉概率
%Pm 变异概率
%输出:
%R 为最短路径
%Rlength 为路径长度
clear
clc
close all
%% 加载数据
% load CityPosition2
[a1,ax1,ay1] = xlsread('各点坐标.xlsx');
xynum0 = [];
for ii = 1:20
xy = ay1{ii+2,4};
for jj = 1:length(xy)
if strcmp(xy(jj),',')
xynum0 = [xynum0 ;str2double(xy(2:jj-1)) str2double(xy(jj+1:end-1))];
end
end
end
numd = zeros(20);
for ii = 1:20
for jj = 1:20
numd(ii,jj) = jwdis(xynum0(ii,1),xynum0(ii,2),xynum0(jj,1),xynum0(jj,2));
end
end
xynum = [];
for ii = 1:20
xy = ay1{ii+2,4};
for jj = 1:length(xy)
if strcmp(xy(jj),',')
xynum = [xynum ;str2double(xy(2:jj-1)) str2double(xy(jj+1:end-1))];
end
end
end
X=xynum;
a2 = xlsread('各点需求量.xlsx');
a2num= a2(:,3);
a3 = xlsread('点与点之间的运输距离.xlsx');
a3num = a3(2:end,2:end);
a3num = numd;
D=Distanse(xynum); %生成距离矩阵
D =a3num;
N=size(D,1); %城市个数
%% 遗传参数
NIND=1000; %种群大小
MAXGEN=50; %最大遗传代数
Pc=0.9; %交叉概率
Pm=0.05; %变异概率
GGAP=0.9; %代沟
%% 初始化种群
Chrom=InitPop(NIND,N);
%% 画出随机解的路径图
% DrawPath(Chrom(1,:),X)
pause(0.0001)
% %% 输出随机解的路径和总距离
% disp('初始种群中的一个随机值:')
% OutputPath(Chrom(1,:));
Rlength=PathLength(D,Chrom(1,:),a2num);
disp(['总距离:',num2str(Rlength)]);
disp('~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~')
%% 优化
gen=0;
figure;
hold on;box on
xlim([0,MAXGEN])
title('优化过程')
xlabel('代数')
ylabel('最优值')
ObjV=PathLength(D,Chrom,a2num); %计算路径长度
preObjV=min(ObjV);
while gen<MAXGEN
%% 计算适应度
ObjV=PathLength(D,Chrom,a2num); %计算路径长度
% fprintf('%d %1.10f\n',gen,min(ObjV))
line([gen-1,gen],[preObjV,min(ObjV)]);pause(0.0001)
preObjV=min(ObjV);
FitnV=Fitness(ObjV);
%% 选择
SelCh=Select(Chrom,FitnV,GGAP);
%% 交叉操作
SelCh=Recombin(SelCh,Pc);
%% 变异
SelCh=Mutate(SelCh,Pm);
%% 逆转操作
SelCh=Reverse(SelCh,D,a2num);
%% 重插入子代的新种群
Chrom=Reins(Chrom,SelCh,ObjV);
%% 更新迭代次数
gen=gen+1 ;
end
%% 画出最优解的路径图
load maydata.mat
ObjV=PathLength(D,Chrom,a2num); %计算路径长度
[minObjV,minInd]=min(ObjV);
% DrawPath(Chrom(minInd(1),:),X)
%% 输出最优解的路径和总距离
disp('最优解:')
p=OutputPath(Chrom(minInd(1),:),a2num,xynum0);
disp(['总距离:',num2str(ObjV(minInd(1)))]);
disp('-------------------------------------------------------------')
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遗传算法多车辆路径优化,粒子群算法多车辆路径优化(代码完整,数据齐全)
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