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基于改进遗传算法的舰载机弹药挂载调度

Carrier-Based Aircraft Ammunition Loading Scheduling Based on Improved Genetic Algorithm
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摘要 舰载机弹药挂载工作是舰载机弹药保障中的一个重要环节,传统的舰载机弹药挂载调度通常忽略工作中存在的约束。针对该问题,分析了弹药挂载工作中存在的约束条件,以所有舰载机弹药挂载时间之和为优化目标,建立了考虑舰载机起始挂载时间不同和弹药挂载空间约束的舰载机弹药挂载调度模型,并提出了一种基于染色体片段编码的改进遗传算法,避免了大量不可行解的产生,提高了算法求解效率。仿真分析验证了所提模型与算法所得弹药挂载调度方案的可行性。 Carrier-based aircraft ammunition loading is an important part of carrier-based aircraft ammunition support,and traditional carrier-based aircraft ammunition loading scheduling usually ignores the constraints existing in the work.To solve this problem,the constraints in the ammunition loading work are analyzed,and the sum of the ammunition loading time of all carrier-based aircraft is taken as the optimization objective,and a model of carrier-based aircraft ammunition loading scheduling is established,which considers different initial loading time of the carrier-based aircraft and the ammunition loading space.An improved genetic algorithm based on chromosome segment coding is proposed,which avoids the generation of a large number of unfeasible solutions and improves the efficiency of the algorithm.Through simulation analysis,the feasibility of the ammunition loading scheduling scheme obtained by the model and the algorithm is verified.
作者 吕晓峰 杨东泽 马羚 郑晓梅 LYU Xiaofeng;YANG Dongze;MA Ling;ZHENG Xiaomei(Coastal Defense College,Naval Aviation University,Yantai 264000,China)
出处 《电光与控制》 CSCD 北大核心 2024年第1期82-86,共5页 Electronics Optics & Control
关键词 舰载机弹药 弹药挂载方案 优化模型 遗传算法 调度优化 carrier-based aircraft ammunition ammunition loading scheme optimized model genetic algorithm scheduling optimization
作者简介 吕晓峰(1982-),男,江苏盐城人,硕士,副教授;通讯作者:杨东泽(1998-),男,山西运城人,硕士生。
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