基于改进蚁群算法的合成部队战时装备抢修力量选址问题研究

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中图分类号：E917：E246 文献标志码：A DOI：10. 3969/j. issn. 1673-3819. 2025.06.017

引用格式：，，.基于改进蚁群算法的合成部队战时装备抢修力量选址问题研究[J].指挥控制与仿真，2025，47 （6）：120-128.CAOT，GAOL，YEGD.Researchonthesiteselectionproblemof wartimeequipmentrepairforceof synthetictroops based on improved ant colony algorithm[J].Command Control & Simulation，2025，47（6）：120-128.

Research on the site selection problem of wartime equipment repair force of synthetic troops based on improved ant colony algorithm

CAO Teng，GAO ，YE Guangda （Shijiazhuang Campus，Army Engineering University，Shijiazhuang O5OoO3，China）

Abstract：Thelocationselectionofwartimeequipmentrepairforcesinacombinedforceisacrucialfactorafectingthefciency of equipment repair forces.Reasonableselectionof the locationof equipmentrepair forces is essential forcompleting equipmentrepairtasks.This paper transformsthebatlefield equipmentrepairlocation selection problemofacombined force into aspecific batlefield network location selection problem，and establishes anoptimization modelcomposedofrepair quantity，repair distance，coveragerange，and maximum load.Italso incorporates hard constraintssuch ascoverage rate，antidestructiondeployment，andloadbalancing.Byimproving theantcolonyalgorithm，thenodepheromoneupdate，dynamic weightupdate，and heuristiclocal search operatorareadded toachievethecordinatedoptimizationof multipleobjectives. Experimentalresultsshowthattheproposedimprovedantcolonyalgorithmoptimizationmethodhasbetercomprehensiveperformance，withsignificantimprovementsincoveragerate，repairdistance，andloadbalancing.Itisefectiveandhaspractical value for the battlefield equipment repair location selection problem.

Keywords：synthetic forces；equipment repair；ant colony algorithm；site selection

合成部队战时装备抢修力量选址问题研究的目的是将装备抢修力量和物资合理配置在适当位置以更好发挥效能，通常由基本指挥所或装备保障指挥所指挥员根据战场情况进行确定，往往具有主观性强、动态适应性弱和鲁棒性存在缺陷等特点。（剩余13181字）