基于蚁群算法的多车型物流车辆调度研究

Research on Multi-model Logistics Vehicle Scheduling Based on Ant Colony Algorithm

文章对于物流车辆调度进行研究,根据在实际运营中,公司拥有多种车型车辆进行物流配送的特点,运用蚁群算法进行调度研究,建立总成本最小的目标函数,并通过仿真算例得出模型的可行性,体现了模型假设的优势,为物流企业车辆调度提供想法和思路。

For logistics vehicle scheduling research,this paper according to the actual operation,the company has a variety of models for the characteristics of logistics distribution,using ant colony algorithm for scheduling research,establishing the objective function is minimum total cost,and its feasibility is concluded through simulation calculation,embodies the advantages of model assumptions,provide logistics enterprises vehicle scheduling with thoughts and ideas.