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针对物流配送最优路径问题,提出利用蚁群算法对最优路径数学模型进行构建,并对传统蚁群算法进行改进。对传统蚁群算法存在的搜索时间过长和早熟停滞的问题,通过引入最近邻域算法和局部最优策略,从而提高系统收敛速度和全局搜索的能力。最后通过仿真实验对上述算法进行验证,证明本文改进蚁群算法
In view of the optimal route problem of logistics and distribution, this paper proposes to use the ant colony algorithm to construct the optimal path mathematical model and to improve the traditional ant colony algorithm. The traditional ant colony algorithm has the problem of too long search time and premature stasis, which can improve the system convergence speed and global search ability by introducing nearest neighbor algorithm and local optimal strategy. At last, the above algorithm is verified through simulation experiments, which proves that this article improves the ant colony algorithm