基于任务聚类的维修力量编组优化模型与改进NSGA-Ⅱ求解算法

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中图分类号：E245 文献标志码：A DOI：10.3969/j.issn.1673-3819.2026.02.020

Abstract：Inresponsetothecurrentissues with theorganizationofwartime equipment maintenanceforces，aforceorganization method basedonmision clusteringanalysisandan improved NSGA-IIalgorithm is proposed.Basedonthe mission clusteringanalysisresultsobtained fromthe maintenancetaskclustering model，amulti-objectiveoptimizationmodel formaintenance forcegrouping was established with theobjectivesof minimizing thetotal maintenance timeandthe standarddeviationof personnelworkload.Forthesolutionmethodofthismulti-objectiveoptimizationmodel，theeliteretentionstrategyand crossoveroperatorof the traditionalNSGA-Ialgorithmwereoptimizedandimproved.TheimprovedNSGA-Ialgorithmwas verifiedthrough theZDTtestfunctionintemsofitssuperiorityinconvergenceandsolutionsetdistribution.Usingthemaintenance misionof acertainarillery group asan example，simulation experiments and model algorithmanalysis were conducted，resultinginasetofrelativelyideal maintenanceforceorganizationschemes.Thisprovidesmethodologicalandtechical support for decision-makers to select schemes based on battlefield requirements and preference diferences.

KeyWords：maintenance force formation；mission clustering；basic maintenanceunit；improved NSGA-Ialgorithm

列装部队的高新武器装备系统构成复杂，维修技术要求高，战时装备战损不确定性大，维修任务愈发繁重，传统的装备维修保障力量按编制或专业编组方式单一、平战转换不灵活、保障效率效益偏低等问题日益凸显，因此对各级战时装备维修保障能力建设提出了新的更高要求。（剩余9591字）