空天防御2024，Vol.7Issue(3)：86-93,8.
多弹集群协同优化决策算法研究
Research on Collaborative Optimization Decision Algorithm for Multi-Missile Clusters
摘要
Abstract
Taking cluster-to-sea combat as the application background,this article focuses on the spatiotemporal configuration and target allocation decision-making problems of multi-missile and multi-spatial dispersion.It established a missile active perception collaborative detection model in typical collaborative scenarios of multiple missiles and designed models and corresponding algorithms for missile cooperative detection and collaborative attacks.Initially,a three-degree-freedom model for missiles and a two-degree-freedom model for ships,an evaluation model for missile flight capability,an evaluation model for missile penetration probability,and a missile threat evaluation model were established,thus allowing the accurate measurements of changes in missile detection and strike capabilities.Then,this study designed an active perception collaborative detection model and collaborative attack model for missiles under incomplete information conditions,maximizing the benefits of missile collaborative operations and maximizing the destruction of enemy forces.After that,to address the problems of target allocation and missile formation configuration in missile coordinated strike,a particle swarm optimization algorithm incorporating a genetic algorithms(GAPSO)was introduced and compared with the traditional particle swarm optimization(PSO)algorithms,which allows a multi-dimensional consideration of battlefield situation information and integrated detection and attack of enemy targets.Finally,this article simulated the established combat model and obtained algorithm simulation graphs and statistical data from multiple simulations of the algorithm.Compared with other algorithms,this algorithm has obvious advantages,thus significantly improving the intelligent confrontation level and penetration strike ability of missiles.关键词
导弹集群决策/多弹协同/主动感知/粒子群/遗传粒子群Key words
missile cluster decision-making/multi-missile cooperation/active perception/particle swarm optimization(PSO)/genetic algorithms particle swarm optimization(GAPSO)分类
航空航天引用本文复制引用
熊婧伊,呼卫军,殷玮,张伟杰,颜涛..多弹集群协同优化决策算法研究[J].空天防御,2024,7(3):86-93,8.基金项目
国家自然科学基金联合基金(U23B2064) （U23B2064）
