兵工自动化2025，Vol.44Issue(3)：1-3,3.DOI:10.7690/bgzdh.2025.03.001
基于BPSO的联合火力打击武器目标分配优化
Joint Fire Strike Weapon Target Assignment Optimization Based on BPSO
摘要
Abstract
Weapon-target assignment(WTA)is the core content of joint fire strike operational planning,so the optimization of weapon-target distribution of joint fire strike is studied.A multi-objective constrained optimization model of weapon-target allocation is established,in which the constraint factors such as the damage capability and number of weapon platforms and the characteristics of targets are comprehensively considered,and the maximization of the expected strike value income and the minimization of the strike cost are taken as the optimization objectives;The discrete binary particle swarm optimization(BPSO)algorithm is used to solve the problem,and the ideal optimization scheme of weapon-target assignment for joint fire strike is obtained.The results show that the research can provide a reference for building a more reasonable optimization model of weapon-target assignment and designing a more efficient intelligent algorithm.关键词
离散二进制粒子群/联合火力打击/武器目标分配/仿真实验Key words
BPSO/joint fire strike/WTA/simulation experiment分类
武器工业引用本文复制引用
刘学,王俊,张伟,张跃飞..基于BPSO的联合火力打击武器目标分配优化[J].兵工自动化,2025,44(3):1-3,3.基金项目
全军军事类研究生资助课题(JY2022C167) （JY2022C167）
