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蚁群算法在车辆巡回保障中的应用研究
引用本文:张芳凌,陈适,舒华,赵劲松.蚁群算法在车辆巡回保障中的应用研究[J].军械工程学院学报,2009,21(5):20-23,27.
作者姓名:张芳凌  陈适  舒华  赵劲松
作者单位:[1]军事交通学院研究生管理大队,天津300161 [2]预备役高射炮兵师四团,重庆404040 [3]军事交通学院装备保障系,天津300161
摘    要:应用蚁群算法(ACA)解决车辆巡回保障问题,建立了车辆巡回保障优化数学模型,对轨迹更新规则进行了重新设定,给出了算法的实现步骤。通过算例分析,将计算结果与遗传算法(GA)和粒子群算法(PSO)作了比较,对模型和算法的正确性、高效性和适用性进行了验证。实验结果表明,该算法可以快速、有效求得车辆巡回保障的优化解,得到车辆巡回保障过程中的较优方案。

关 键 词:蚁群算法  车辆巡回保障  车辆路径问题

Application of Routing Problem of Vehicle Itinerate Support Based on Ant Colony
ZHANG Fang-ling,CHEN Shi,SHU Hua,ZHAO Jin-song.Application of Routing Problem of Vehicle Itinerate Support Based on Ant Colony[J].Journal of Ordnance Engineering College,2009,21(5):20-23,27.
Authors:ZHANG Fang-ling  CHEN Shi  SHU Hua  ZHAO Jin-song
Institution:1. Postgraduate Training Brigade, Academy of Military Transportation, Tianjin 300161, China; 2. The 4th Regiment Antiaircraft Artillery Division,PLA Reserve,Chongqing 404040 ,China; 3. Equipment Support Department,Academy of Military Transportation,Tianjin 300161 ,China)
Abstract:Ant colony algorithm (ACA) is used to solve the routing problem of itinerate support. A vehicle itinerate support model is set up which improves the pheromone updating rule. The correctness, effect and applicability of the model is validated with an example.
Keywords:ant colony  routing problem of vehicle itinerate support  vehicle routing problem
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