空天预警研究学报2026，Vol.40Issue(2)：125-130,6.DOI:10.3969/j.issn.2097-180X.2026.02.010
基于MSMPCE-GA的多无人机协同侦察路径规划研究
Research on MSMPCE-GA-based path planning for multi-UAV cooperative reconnaissance
左铁东 1林洁 1覃海燕 1汪君2
作者信息
- 1. 95795部队,广西 桂林 541003
- 2. 95795部队,广西 桂林 541003||信息支援部队工程大学,武汉 430033
- 折叠
摘要
Abstract
Aimed at the problems of strong dynamic uncertainty and high-dimensional search spaces in the process of multiple unmanned aerial vehicle(multi-UAV)cooperatively reconnoitering maneuvering targets,a multi-UAV cooperative reconnaissance path planning method based on a multi-scale multi-population co-evolu-tion genetic algorithm(MSMPCE-GA)is proposed.First,based on the mobile target distribution prior,the discov-ery probability of multiple reconnaissance attempts by multi-UAVs is derived,then a path planning model for multi-UAV cooperative reconnaissance is constructed with the goal of maximizing the probability and simultane-ously considering flight range and time constraints,and finally,a multi-scale search space is employed for model-ing,and the MSMPCE-GA algorithm with multi-population co-evolution mechanism is for solution.The simula-tion results show that,compared with the standard genetic algorithm(SGA),the method proposed in the paper has the average target discovery probability increased from 78.97%to 91.93%,capable of improving the search effi-ciency of multi-UAV cooperative reconnaissance,thus providing a feasible solution for cooperative reconnais-sance in complex dynamic environments.关键词
多无人机/协同侦察/多尺度多种群协同演化/遗传算法/路径规划Key words
multi-UAV/cooperative reconnaissance/multi-scale multi-population co-evolution/genetic algo-rithm(GA)/path planning分类
信息技术与安全科学引用本文复制引用
左铁东,林洁,覃海燕,汪君..基于MSMPCE-GA的多无人机协同侦察路径规划研究[J].空天预警研究学报,2026,40(2):125-130,6.
