文件名称:ACOforTSP
- 所属分类:
- 人工智能/神经网络/遗传算法
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- [Text]
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- 2012-11-26
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- 1kb
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- W**
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tsp问题的群蚁算法实现,其中c为测试矩阵,代表各点的相对坐标,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,运行后得到最佳路线和收敛曲线-ant problem tsp algorithm group, of which c for the test matrix, the representative of the relative coordinates of the points, NC_max the largest number of iterations, m the number of ants, Alpha pheromone characterization of the importance of the parameters, Beta factor, the importance of heuristic characterization of the parameters , Rho pheromone evaporation factor, Q factor pheromone to increase strength, R_best generations the best route, L_best generations the best route length, running the best routes and the convergence curve
,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,运行后得到最佳路线和收敛曲线-ant problem tsp algorithm group, of which c for the test matrix, the representative of the relative coordinates of the points, NC_max the largest number of iterations, m the number of ants, Alpha pheromone characterization of the importance of the parameters, Beta factor, the importance of heuristic characterization of the parameters , Rho pheromone evaporation factor, Q factor pheromone to increase strength, R_best generations the best route, L_best generations the best route length, running the best routes and the convergence curve
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tsp群蚁算法matlab实现,c为测试矩阵.txt