文件名称:TSP
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利用蚁群算法、遗传算法还有改进的蚁群算法来解决TSP问题，根据需要可以选择TSP的规模，分别有31个城市的和48个城市的。(Using ants colony algorithm, genetic algorithm and improved ant colony algorithm to solve the TSP problem, we can choose the scale of TSP according to the needs, there are 31 cities and 48 cities respectively.)
相关搜索： TSP问题求解
蚁群算法/遗传算法/改进的蚁群算法
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下载文件列表
| 文件名 | 大小 | 更新时间 |
|---|---|---|
| TSP | 0 | 2019-09-14 |
| TSP\Ant Colony Algorithm | 0 | 2019-09-14 |
| TSP\Ant Colony Algorithm\ant31.m | 4776 | 2019-09-14 |
| TSP\Ant Colony Algorithm\ant48.m | 4962 | 2019-09-14 |
| TSP\Ant Colony Algorithm\citys_31.mat | 309 | 2010-11-13 |
| TSP\Ant Colony Algorithm\citys_48.mat | 377 | 2019-05-15 |
| TSP\Genetic algorithm | 0 | 2019-09-14 |
| TSP\Genetic algorithm\CalDist.m | 243 | 2019-09-14 |
| TSP\Genetic algorithm\cro.m | 1252 | 2019-09-14 |
| TSP\Genetic algorithm\drawTSP.m | 666 | 2019-09-14 |
| TSP\Genetic algorithm\ga_48.m | 1531 | 2019-09-14 |
| TSP\Genetic algorithm\mut.m | 391 | 2019-09-14 |
| TSP\Genetic algorithm\objf.m | 575 | 2019-09-14 |
| TSP\Genetic algorithm\pro.m | 138 | 2019-09-14 |
| TSP\Genetic algorithm\sel.m | 573 | 2019-09-14 |
| TSP\Genetic algorithm\tsp.m | 791 | 2019-09-14 |
| TSP\improve algorithm | 0 | 2019-09-14 |
| TSP\improve algorithm\ca_tsp.m | 152 | 2013-10-19 |
| TSP\improve algorithm\cross_tsp_d.m | 732 | 2019-05-29 |
| TSP\improve algorithm\improve algorithm.m | 5455 | 2019-05-30 |
| TSP\improve algorithm\mutation_d.m | 265 | 2013-10-19 |
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