📄 蚁群算法.txt
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本人自己写的蚁群算法。完全能够实现功能，就是收敛速度感觉有点慢。
% function [R_best,L_best,L_ave,Shortest_Route,Shortest_Length]=ACO(C,D,s,e,NC_max,m,Alpha,Beta,Rho,Q)
% function [Shortest_Route,Shortest_Length]=ACOR(C,D,s,e,NC_max,m,Alpha,Beta,Rho,Q)
%%=========================================================================
%% ACO.m
%% Ant Colony Optimization Algorithm for Road Select Problem
%% LiLixin,ShenYang Insitute of Aeronautical engineering ,ShenYang,China
%% Email:myassist@163.com
%% All rights reserved
%%-------------------------------------------------------------------------
%% 主要符号说明
%% C n个城市的坐标，n×2的矩阵
%% D 道路连通加权矩阵
%% s 起点
%% e 终点
%% NC_max 最大迭代次数
%% m 蚂蚁个数
%% Alpha 表征信息素重要程度的参数
%% Beta 表征启发式因子重要程度的参数
%% Rho 信息素蒸发系数
%% Q 信息素增加强度系数
%% R_best 各代最佳路线
%% L_best 各代最佳路线的长度
%%=========================================================================
%
clc
clear
% 设置初始参数如下：
m=10;Alpha=1;Beta=5;Rho=0.1;NC_max=100;Q=100;
%设定起始点
s=1;e=50;
% 31城市坐标为：
C=[601.6 971.7
988.8 482.6
54.4 549.6
95.4 868
529.1 429.5
982 350.5
654.3 23.2
738.1 372
538.9 593.7
560.1 850.3
229.2 805.9
411.2 710
83.2 706.2
937.4 800.5
11.9 994.4
694.1 809.1
795.4 758.8
338.9 148.1
955.8 643.8
345.7 726.2
550.3 349.6
183.7 935.1
640 544
854.6 842.4
199.3 547.9
434.1 921.4
405.5 624.2
272.3 998.1
772 24.4
385.2 327.4
320.3 410.4
890 90
810 580
180 80
185 300
950 200
850 258.6
50 450
150 402
345 900
450 800
621 700
564.3 180
80.5 280
750 950
450 500
300 50
900 530
300 520
152 189.6
];
D=[0 0 0 0 0 0 0 0 0 76.92 0 0 0 0 0 230.95 0 0 0 0 0 0 0 0 0 76.894 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 157.34 0 0 0 0 0
0 0 0 0 0 140.78 0 325.12 0 0 0 0 0 0 0 0 0 0 155.71 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 76.913 0 0
0 0 0 0 0 0 0 0 0 0 0 0 74.247 0 0 0 0 0 0 0 0 0 0 0 55.603 0 0 0 0 0 0 0 0 0 0 0 0 76.921 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 147.8 0 76.551 0 76.908 0 0 0 0 0 0 79.548 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 84.189 0 0 0 0 0 0 0 0 166.74 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 76.915 0 0 0 0
0 140.78 0 0 0 0 0 211.43 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 76.91 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 205.65 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 76.91 0 0 0 0 0 0 0 0 0 0 0 0 0 76.901 0 0 0 156.87 0 0 0
0 325.12 0 0 0 211.43 205.65 0 0 0 0 0 0 0 0 0 0 0 0 0 79.979 0 258.19 0 0 0 0 0 0 0 0 0 0 0 0 0 73.841 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 76.898 0 0 0 0 0 0 0 0 0 0 79.382 0 0 0 75.438 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
76.92 0 0 0 0 0 0 0 0 0 0 0 0 0 0 80.01 0 0 0 0 0 0 0 0 0 79.064 0 0 0 0 0 0 0 0 0 0 0 0 0 0 76.919 0 0 0 0 0 0 0 0 0
0 0 0 147.8 0 0 0 0 0 0 0 0 147.14 0 0 0 0 0 0 163.89 0 60.464 0 0 0 0 0 151.26 0 0 0 0 0 0 0 0 0 0 0 76.852 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 76.898 0 0 0 0 0 0 0 0 0 0 76.922 0 0 0 0 0 0 81.004 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 74.247 76.551 0 0 0 0 0 0 147.14 0 0 0 0 0 0 0 0 0 0 0 0 0 155.58 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 79.124 0 79.49 0 0 0 0 76.899 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 76.908 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 76.889 0 0 0 0 0 76.886 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
230.95 0 0 0 0 0 0 0 0 80.01 0 0 0 0 0 0 78.141 0 0 0 0 0 0 154.69 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 157.07 0 0 161.07 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 79.124 0 78.141 0 0 76.92 0 0 0 0 0 0 0 0 0 0 0 0 0 78.001 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 128.28 0 0 0 62.948 0 0 0 0 0 0 0 0 154.95 0 0 0 80.368 0 0 0
0 155.71 0 0 0 0 0 0 0 0 0 0 0 79.49 0 0 76.92 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 76.89 0 0
0 0 0 0 0 0 0 0 0 0 163.89 76.922 0 0 0 0 0 0 0 0 0 0 0 0 163.74 0 76.919 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 84.189 0 0 79.979 0 0 0 0 0 0 0 0 0 0 0 0 0 0 152.52 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 77.57 0 0 0 0 0 0 0
0 0 0 79.548 0 0 0 0 0 0 60.464 0 0 0 76.889 0 0 0 0 0 0 0 0 0 0 0 0 76.892 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 258.19 79.382 0 0 0 0 0 0 0 0 0 0 0 152.52 0 0 0 0 0 0 0 0 0 0 0 161.33 0 0 0 0 0 0 0 0 157.1 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 76.899 0 154.69 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 62.691 0 0 0 0 0
0 0 55.603 0 0 0 0 0 0 0 0 0 155.58 0 0 0 0 0 0 163.74 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 79.451 0 0 0 0 0 0 0 0 0 79.409 0
76.894 0 0 0 0 0 0 0 0 79.064 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 77.742 0 0 0 0 0 0 0 0 0 0 0 76.928 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 75.438 0 0 81.004 0 0 0 0 0 0 0 76.919 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 151.26 0 0 0 76.886 0 0 0 0 0 0 76.892 0 0 0 77.742 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 76.91 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 76.913 0 0 0 0 78.324 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 166.74 0 0 0 0 0 0 0 0 0 0 0 0 128.28 0 0 0 0 0 0 0 0 0 0 0 0 79.988 0 0 0 157.22 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 79.988 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 76.911 0 0 76.918 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 76.913 0 0 0 0 0 0 76.921 76.907 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 78.001 0 0 0 0 0 161.33 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 76.914 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 62.948 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 76.916 0 0 76.923
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 157.22 0 0 0 0 0 0 0 0 80.495 0 0 0 0 76.92 0 0 0 0 0 76.926
0 0 0 0 0 76.91 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 76.921 0 0 0 0 76.888 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 73.841 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 78.324 0 0 76.907 0 0 0 76.888 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 76.921 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 76.92 0 0 0 0 76.908 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 79.451 0 0 0 0 0 0 0 0 0 80.495 0 0 76.92 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 76.852 0 0 0 0 0 0 0 0 0 0 0 0 0 0 76.928 0 0 0 0 0 0 0 0 0 0 0 0 0 0 77.96 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 76.919 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 77.96 0 76.893 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 157.07 0 0 0 0 0 0 157.1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 76.893 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 76.901 0 0 0 0 0 0 0 0 0 0 154.95 0 0 77.57 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 76.92 0 0 76.908 0 0 0 0 0 0 0 0 0 0 0 76.921
157.34 0 0 0 0 0 0 0 0 0 0 0 0 0 0 161.07 0 0 0 0 0 0 0 62.691 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 76.915 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 76.911 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 76.912 0
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