基于遗传算法的无人装备系统弹性恢复策略  

Elastic Recovery Strategy of Unmanned Equipment System Based on Genetic Algorithm

作　　者：孟乐 张琳[1] 孟宪良 王振洋 张搏[1] MENG Le;ZHANG Lin;MENG Xianliang;WANG Zhenyang;ZHANG Bo(Air Force Engineering University,Xi’an 710051,China;Unit 31662,Linxia 731100,China;Unit 94175,Urumqi 830000,China)

机构地区：[1]空军工程大学,陕西西安710051 [2]31662部队,甘肃临夏731100 [3]94175部队,新疆乌鲁木齐830000

出　　处：《信息工程大学学报》2024年第5期624-630,共7页Journal of Information Engineering University

摘　　要：针对无人装备系统在遭受外界干扰或自身装备故障情况下如何快速恢复系统性能这一问题,提出一种基于遗传算法的恢复策略模型。该模型基于最短维修路径、最短维修时间和最大平均任务重要度这3个关键维修策略,构建相应的优化目标函数来计算无人装备系统网络维修保障的优化路径。通过案例分析,表明该模型构建的恢复策略得到的优化路径能够快速恢复装备系统的性能,对提升装备系统弹性有促进作用,对提升装备系统作战效能有重要的意义。To address the challenge of rapid recovery of unmanned equipment system performance un⁃der external interference or equipment failure,a recovery strategy model based on genetic algorithm is established.Based on the three key maintenance strategies of the shortest maintenance path,the short⁃est maintenance time,and the highest average task importance,the corresponding optimization objec⁃tive function is constructed to calculate the optimized path for the network maintenance and support of the unmanned equipment system.Through the case analysis,it is shown that the optimization path ob⁃tained by using the recovery strategy of the model can quickly restore the performance of the equip⁃ment system,which has a promoting effect on improving the flexibility of the equipment system and is of great significance for improving the combat effectiveness of the equipment system.

关 键 词：无人装备系统 弹性恢复策略 遗传算法 任务重要度 

分 类 号：E91[军事]