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于 2020-07-24 发布

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说明：针对移动机器人在海水环境中的三维路径规划问题容易陷入局部最优和收敛慢等瑕疵,根据三维环境全局信息来改进蚁群算法以提高实时性和收敛速度(the ant colony algorithm is improved according to the global information of 3D environment to improve the real-time performance and convergence speed)

文件列表：

DeJong.m, 297 , 2018-06-30
Griewank.m, 433 , 2018-06-30
Rastrigrin.m, 373 , 2018-06-30
Rosenbrock.m, 531 , 2018-06-30

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111
说明：用于求解带时间窗的多车场的配送路径优化问题，即vrp问题，算法是基于模拟退火算法和遗传算法的混合算法(The algorithm is a hybrid algorithm based on simulated annealing algorithm and genetic algorithm, which is used to solve the distribution path optimization problem of multi depot with time window)

2019-12-08 16:58:56下载

积分：1
c4QAM
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face-demo
It is for Face Recognition

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积分：1

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functions

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