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模糊车辆配送问题的改进蚂蚁算法
引用本文:赵凯,熊红云. 模糊车辆配送问题的改进蚂蚁算法[J]. 物流科技, 2008, 31(2): 24-27
作者姓名:赵凯  熊红云
作者单位:中南大学,湖南,长沙,410075
摘    要: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。

关 键 词:蚂蚁算法  模糊车辆路径  车辆配送  多目标优化
文章编号:1002-3100(2008)02-0024-04
收稿时间:2007-08-24
修稿时间:2007-08-24

Advanced Ants Algorithm for Fuzzy Vehicles Distribution Problem
ZHAO Kai,XIONG Hong-yun. Advanced Ants Algorithm for Fuzzy Vehicles Distribution Problem[J]. Logistics Management, 2008, 31(2): 24-27
Authors:ZHAO Kai  XIONG Hong-yun
Affiliation:(Central South University, Changsha 410075, China)
Abstract:Fuzzy vehicles distribution is a multi-objective FVRP optimization with practical significance in the field 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 by the algorithm.
Keywords:ants algorithm   fuzzy vehicle routing problem   vehicles distribution   multi-objective optimization
本文献已被 CNKI 维普 万方数据 等数据库收录!
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