舰船电子工程2024，Vol.44Issue(10)：43-47,5.DOI:10.3969/j.issn.1672-9730.2024.10.009
巡飞弹集群协同路径规划方法研究
Research on Collaborative Path Planning Method for Cluster of Cruise Missiles
黄少军 1吴昊2
作者信息
- 1. 中国人民解放军75608部队 香港 400000||海军工程大学 武汉 430033
- 2. 海军工程大学 武汉 430033
- 折叠
摘要
Abstract
For the problem that traditional heuristic algorithms are difficult to extract empirical models from large sample ter-rain data in a timely manner,a cooperative path planning method based on attention reinforcement learning for multi-patrol missiles is proposed.This collaborative optimization method integrates the influencing factors such as survival probability,path length,load balance and endurance constraints.Attention neural networks are used to generate cooperative reconnaissance strategies for patrol missiles,and a large amount of simulated data is tested to optimize the attention network using the REINFORCE algorithm.The ex-perimental results show that the proposed method can effectively solve the multi-patrol missile path planning problem with high re-al-time requirements,and the solution time is smaller than that of traditional algorithms.关键词
注意力机制/巡飞弹/协同路径规划Key words
attention mechanisms/patrol missiles/collaborative path planning分类
军事科技引用本文复制引用
黄少军,吴昊..巡飞弹集群协同路径规划方法研究[J].舰船电子工程,2024,44(10):43-47,5.
