基于改进遗传算法的战备器材仓库选址优化问题研究  

Research on Location Selection Optimization Problem of War Readiness Equipment Warehouse Based on Improved Genetic Algorithm

作　　者：汪琳 何成铭 WANG Lin;HE Chengming(Equipment Support and Remanufacturing Department of Army Academy of Armored Forces,Beijing 100072,China)

机构地区：[1]陆军装甲兵学院装备保障与再制造系,北京100072

出　　处：《现代信息科技》2022年第15期93-96,100,共5页Modern Information Technology

摘　　要：针对战时器材保障问题的紧迫性和不确定性,研究了在局部战场如何建立装备维修等器材仓库的布局规划问题。建立了以运输车输送装备器材路径最短为目标函数的器材仓库选址模型,在此基础上提出了基于同基因交叉的改进遗传算法作为模型求解方法。结合战时器材仓库选址实例,对模型和算法进行了仿真分析,确定了仓库选址的最终方案,证明了模型的可行性和算法的有效性。In view of the urgency and uncertainty of equipment support problem in wartime,this paper studies the layout planning problem that how to establish the equipment warehouse of equipment maintenance in local battlefield.This paper establishes the location selection model of equipment warehouse,which takes the shortest route as the objective function with the transport vehicles transporting equipment.On this basis,an improved genetic algorithm based on syngeneic crossover is proposed as the model solution method.Combined with the example of equipment warehouse location selection in wartime,it carries out a simulation analysis for the model and algorithm,determines the final scheme of the warehouse location selection,and proves the feasibility of the model and the validity of the algorithm.

关 键 词：战备器材 仓库选址 同基因交叉 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程]