兵工自动化2023，Vol.42Issue(12)：16-20,5.DOI:10.7690/bgzdh.2023.12.004
基于改进粒子群优化算法的多阵地反舰导弹航路规划
Route Planning of Multi-position Anti-ship Missile Based on Improved Particle Swarm Optimization Algorithm
李浩民 1王光源 2张岩 3陈永展2
作者信息
- 1. 海军航空大学岸防兵学院,山东 烟台 264001||中国人民解放军 92020 部队,山东 青岛 266000
- 2. 海军航空大学岸防兵学院,山东 烟台 264001
- 3. 中国人民解放军 92020 部队,山东 青岛 266000
- 折叠
摘要
Abstract
In order to meet the actual needs of combat,based on the improved particle swarm optimization(PSO)algorithm,the β algorithm and the oscillation value theory are proposed as constraints to build a mathematical model to establish the time and space coordination relationship between missiles in multi-position and multi-direction assault water surface ship operations.The results show that the model has fast convergence speed and can effectively solve the problem of missile route planning in joint action.关键词
反舰导弹/航路规划/战场环境/粒子群算法Key words
anti-ship missiles/route planning/battlefield environment/PSO分类
军事科技引用本文复制引用
李浩民,王光源,张岩,陈永展..基于改进粒子群优化算法的多阵地反舰导弹航路规划[J].兵工自动化,2023,42(12):16-20,5.
