Optimization Design of Ammunition Scheduling Scheme for Carrier-based Aircraft based on Improved DPSO Algorithm

Liting Wang, Fuqiang Li, Jing-lian Huang, Xiao-Na Zheng
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引用次数: 0

Abstract

Abstract: In order to minimize the execution time of ammunition scheduling scheme, an ammunition scheduling model for carrier-based aircraft is established in this paper, and a improved discrete particle swarm optimization (IDPSO) algorithm is designed for multiple links, multiple ammunition points and multiple demand points in the ammunition scheduling process. The IDPSO algorithm overcomes the disadvantage that the basic particle swarm is hard to deal with the discrete problem, by discretizing the particle speed and coordinates. The simulation results show that the IDPSO algorithm has faster convergence speed and global optimization ability. At the same time, the applicability of the scheduling model and the effectiveness of the IDPSO algorithm are verified. CCS CONCEPTS • Computing methodologies • Modeling and simulation • Model development and analysis
基于改进DPSO算法的舰载机弹药调度方案优化设计
摘要为了使弹药调度方案的执行时间最短,建立了舰载机弹药调度模型,针对弹药调度过程中的多环节、多弹药点和多需求点,设计了改进的离散粒子群优化算法(IDPSO)。IDPSO算法通过将粒子速度和坐标离散化,克服了基本粒子群算法难以处理离散问题的缺点。仿真结果表明,该算法具有较快的收敛速度和全局寻优能力。同时,验证了调度模型的适用性和IDPSO算法的有效性。CCS概念•计算方法•建模和仿真•模型开发和分析
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