Description: 大家好!这是一个由VC编写的遗传算法解决TSP问题的源代码,希望能初学者有所帮助!-everyone! This is a VC prepared by the Genetic Algorithm for the Traveling Salesman Problem source code, hope to help beginners! Platform: |
Size: 60416 |
Author:舒小敏 |
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Description: 基于遗传算法的TSP实现,包含仿真出的图像路线图-based on genetic algorithm to achieve the TSP, including simulation of the road map images Platform: |
Size: 134144 |
Author:王月 |
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Description: 基本遗传算法求解TSP问题,只需给出城市间距离矩阵和初始参数即可进行计算。-basic genetic algorithm for TSP, is only inter-city distance matrix and the initial parameters can be calculated. Platform: |
Size: 9216 |
Author:时 |
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Description: 这是一篇关于遗传算法求解TSP问题的源码,用C++编写,带注释.-This is a genetic algorithm for TSP source code, the C preparation, with the Notes. Platform: |
Size: 735232 |
Author:不知道 |
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Description: 基于小生竞的遗传算法 Genetic Algorithm Based 0n Niche -based hsiaosheng competing GA Genetic Algorithm Based 0n Nic he Platform: |
Size: 51200 |
Author:limin |
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Description: TSP( Traveling Salesman Problem) is a typical NP complete problem ,genetic algorithm is the perfect method for solving NP complete problem. -TSP (Traveling Salesman Problem) is a typical NP complete problem, genetic algorithm is the perfect method for solving NP complete problem. Platform: |
Size: 530432 |
Author:maolei |
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Description: 用遗传算法求解TSP问题。。。matlab编写,并附带有城市坐标用于检验。-Genetic Algorithm for TSP with the problem. . . matlab prepared, together with the coordinates with the city for inspection. Platform: |
Size: 3072 |
Author:何金深 |
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Description: 用遗传算法解决TSP问题.程序中可以任意设置各种遗传算法的参数.有图形界面展示搜索的过程 .-Using genetic algorithms to solve TSP problem. Program can set various parameters of genetic algorithm. Has a graphical interface to display the search process. Platform: |
Size: 586752 |
Author:dudu |
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Description: This the program for the TSP problem utilizing genetic algorithm.-This is the program for the TSP problem utilizing genetic algorithm. Platform: |
Size: 109568 |
Author:Junseok Kwon |
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Description: 用遗传算法求解TSP问题,包含选择,交叉,变异算子。迭代效率较高(The genetic algorithm is used to solve the TSP problem, including selection, crossover and mutation operators. The iterative efficiency is higher) Platform: |
Size: 258048 |
Author:andycorleone
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