文件名称:Ant-colony-algorithm
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利用蚁群算法寻找以下10个城市的TSP最短路径。
10个城市的X、Y坐标分别为:(0.1,0.6)、(0.2,0.3)、(0.4,0.1)、(0.5,0.5)、(0.7,0.2)、(0.8,0.4)、(0.2,0.8)、(0.5,0.9)、(0.7,0.6)、(0.9,0.8)。
要求输出最短路径顺序及其长度,以及蚁群算法迭代过程中的最短路径长度进化曲线。
-Ant colony algorithm to find the following 10 cities TSP shortest path.
X, Y coordinates of the 10 cities were: (0.1,0.6), (0.2,0.3), (0.4,0.1), (0.5,0.5), (0.7,0.2), (0.8,0.4), (0.2, 0.8), (0.5, 0.9), (0.7,0.6), (0.9, 0.8).
The shortest path required output sequence and its length, and the ant colony algorithm iterations shortest path length evolution curve.
10个城市的X、Y坐标分别为:(0.1,0.6)、(0.2,0.3)、(0.4,0.1)、(0.5,0.5)、(0.7,0.2)、(0.8,0.4)、(0.2,0.8)、(0.5,0.9)、(0.7,0.6)、(0.9,0.8)。
要求输出最短路径顺序及其长度,以及蚁群算法迭代过程中的最短路径长度进化曲线。
-Ant colony algorithm to find the following 10 cities TSP shortest path.
X, Y coordinates of the 10 cities were: (0.1,0.6), (0.2,0.3), (0.4,0.1), (0.5,0.5), (0.7,0.2), (0.8,0.4), (0.2, 0.8), (0.5, 0.9), (0.7,0.6), (0.9, 0.8).
The shortest path required output sequence and its length, and the ant colony algorithm iterations shortest path length evolution curve.
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下载文件列表
Ant colony algorithm/
Ant colony algorithm/main2.m
Ant colony algorithm/说明.txt
Ant colony algorithm/main2.m
Ant colony algorithm/说明.txt
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