用蚁群算法求解物流中心选址优化问题

摘要

建立物流中心选址的最优模型，将解物流中心选址的最优问题映射为一个聚类过程，物流中心选址的总成本最小化作为聚类原则，利用蚁群算法来求解此问题，通过信息元素完成物品的聚堆行为，合理设计并转移物品，通过禁忌搜索表将配送点与物流中心聚成一类，从而求得物流中心选址的最优解。%In this paper, we built the model for the optimization of the location of logistics centers, mapped the problem into a conglomeration process, and with the minimization of the total cost as the principle for the process, used the ant colony algorithm to solve it.