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蚁群算法的优化计算（TSP优化问题）

于 2020-03-21 发布

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说明：采用蚁群算法解决TSP旅行商问题。先用dijkstra算法生成初始次优路径，再用蚁群算法搜索全局最优路径。(Ant colony algorithm is used to solve TSP traveling salesman problem. First, Dijkstra algorithm is used to generate the initial suboptimal path, and then ant colony algorithm is used to search the global optimal path.)

文件列表：

蚁群算法的优化计算（TSP优化问题）\citys_data.mat, 309 , 2010-11-13
蚁群算法的优化计算（TSP优化问题）\main.m, 5929 , 2010-11-30
蚁群算法的优化计算（TSP优化问题）, 0 , 2020-03-21

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oneweichafen
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nonlinear separation based on MLP

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an article about red eye detection

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matlab数学建模工具箱，线性统计聚类 (样品集，训练品集，训练品类别集)将各样品分类。(matlab toolbox of mathematical modeling, linear statistical clustering (Sample set, set of training materials, training, product category set) to the sample classification.)

2011-11-02 17:00:20下载

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蚁群算法的优化计算（TSP优化问题）

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