摘要
为解决战时装备维修保障力量优化问题,利用改进的遗传算法和装备维修的优先级别权重,构建基于满足最大维修权重条件下最小行驶距离的装备巡回维修力量派遣路线模型,实现维修保障力量的分配、维修对象优先级别和行驶路线的同步优化,提出模型求解算法,通过具体实例和分析对新算法进行有效性检验。
To optimize the equipment maintenance forces in wartime,the paper utilizes the improved genetic algorithm and priority weight for equipment needed repairing to establish a tour maintenance dispatching model,which meets the conditions of both maximum maintenance weight and minimum travel distance,resulting in synchronous optimization of maintenance strength allocation,priority of equipment to be repaired and the travel route.The case analysis validates this new algorithm’s effectiveness.
作者
何岩
赵劲松
王少聪
刘亚东
周玄
HE Yan;ZHAO Jinsong;WANG Shaocong;LIU Yadong;ZHOU Xuan(Fifth Team of Cadets,Army Military Transportation University,Tianjin 300161,China;Projecting Equipment Support Department,Army Military Transportation University,Tianjin 300161,China)
出处
《军事交通学院学报》
2019年第5期42-46,共5页
Journal of Military Transportation University
基金
国家社科基金军事学项目(16GJ003-207)
关键词
维修优先级
维修保障力量
优化调度
遗传算法
maintenance priority
maintenance support forces
optimization and scheduling
genetic algorithm