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基于多目标优化和改进蚁群算法的战时物资投送路径规划

Wartime material delivery path planning based on multi-objective optimization and improved ant colony algorithm
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摘要 战时物资投送的路径规划不良直接影响配送任务的完成。文章从时效性、安全性和节约性3个要素着手建立多目标优化模型,在经典蚁群算法的基础上进行改进,提出一种战时物资投送路径规划方法,并用实例验证了算法有效性和优越性。 The route planning of wartime material delivery directly affects the fulfillment of distribution tasks.This paper establishes a multi-objective optimization model based on the three factors of timeliness,security and economization,and proposes an improved ant colony algorithm to develop a delivery path planning method for wartime materials.The effectiveness and superiority of the algorithm are verified by examples.
作者 马健 陈丽艳 何成铭 MA Jian;CHEN Liyan;HE Chengming(Army Academy of Armored Forces,Beijing 100072,China;Beijing Institute of Computer Technology and Applications,Beijing 100039,China)
出处 《兵器装备工程学报》 CAS CSCD 北大核心 2023年第S01期241-249,共9页 Journal of Ordnance Equipment Engineering
关键词 多目标优化 改进蚁群算法 战时 物资投送 路径规划 multi-objective optimization improved ant colony algorithm wartime delivery of supplies path planning
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