模糊车辆配送问题的改进蚂蚁算法

Advanced Ants Algorithm for Fuzzy Vehicles Distribution Problem

模糊车辆配送问题是物流调度领域中一个具有现实意义的多目标FVRP问题。论文针对问题的特性,提出了一种结合启发式初始种群以及推—碰撞—掷规则,并引进了服务紧急程度影响因子的改进蚂蚁算法。实验结果表明,改进蚂蚁算法能够得到较好的模糊车辆配送问题满意解。

Fury vehicles distribution is a multi-objective FVRP optimization with practical significance in the fields of logistics.In view of the problem＇s characteristics in this paper, an advanced ants algorithm is proposed, which combines the heuristic initial population method and push-bump-throw rules and introduces the service urgency factor, The experimental results show that the better satisfactory solutions to the fuzzy vehicles distribution can be gotten hy the algorithm.