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基于改进遗传算法的物资预置地优化选址

Optimized material pre-positioning site selection based on improved genetic algorithm
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摘要 针对地面装备物资预置地优化选址常用方法受主观因素影响较大、不能保证评价结果一致性的问题,通过单指标评价和多指标综合评价方法建立物资预置基地选址模型,引入遗传算法优化物资预置地选址模型参数,并从遗传算子和遗传机制2个方面改进,解决标准遗传算法容易陷入局部最优的问题。通过实例仿真对比标准遗传算法和改进遗传算法的优化能力,说明了改进遗传算法对物资预置地优化选址问题解算的有效性。 To solve the problem that common pre-positioning site selecting methods are affected by subjective factors greatly and it’s difficult to ensure the consistency of results,a material pre-positioning site selecting model is established with single-factor assessment method and multi-factor assessment method;genetic algorithm is introduced to optimize the parameters of material pre-positioning site selecting model,and also the genetic algorithm is improved in 2 aspects,which are genetic operators and genetic mechanism,to avoid falling into the local optimum of standard genetic algorithm.The simulation shows the comparison of the standard genetic algorithm and the improved genetic algorithm on optimizing abilities,and the results indicate the effectiveness of the improved genetic algorithm in optimizing material pre-positioning site selection.
作者 陈长鑫 黄大山 刘海亮 陈诚 CHEN Changxin;HUANG Dashan;LIU Hailiang;CHEN Cheng(Graduate Student Brigade,Engineering University of People’s Armed Police,Xi’an 710086,China;Element 41 of Unit 32272 of the People’s Liberation Army,Deyang 618408,China)
出处 《兵器装备工程学报》 CAS CSCD 北大核心 2022年第S02期319-325,共7页 Journal of Ordnance Equipment Engineering
关键词 模型优化 预置地选址 装备物资 遗传算法 多指标评价 model optimization pre-positioning site selecting equipment material genetic algorithm multi-factor assessment
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