现代防御技术2024，Vol.52Issue(4)：24-32,9.DOI:10.3969/j.issn.1009-086x.2024.04.003
面向无人机航路的优化算法研究综述
Review of Optimization Algorithms for UAV Routes
摘要
Abstract
With the increasing mission complexity and environmental uncertainty of UAV,the requirements for route planning also increase,and the complexity of the route planning problem gradually increases from single UAV route planning to multi-UAV planning,and from single mission to multi-mission.To find a solution to the UAV route planning problem,a comprehensive analysis from aspects of concept,connotation,task modeling and algorithm analysis is presented.To solve the problems of existing route planning algorithms,such as,poor optimal path effect,slow convergence speed and tendency of falling into local optimization,applications and problems of UAV route planning with A*algorithm,particle swarm algorithm,genetic algorithm as well as ant colony algorithm are analyzed,and directions of algorithm optimizations and improvements are proposed.关键词
航路规划/约束条件/A*算法/粒子群算法/遗传算法/蚁群算法Key words
path planning/constraints/A*algorithm/particle swarm optimization(PSO)/genetic algorithm(GA)/ant colony optimization(ACO)分类
航空航天引用本文复制引用
何文彪,胡永江,李文广..面向无人机航路的优化算法研究综述[J].现代防御技术,2024,52(4):24-32,9.基金项目
装备综合研究项目(XX20212A0211XX) （XX20212A0211XX）
