面向无人机集群路径规划的智能优化算法综述

Review of unmanned aerial vehicle swarm path planning based on intelligent optimization

无人机集群通过协同完成既定任务是未来智能化、无人化作战的重要方式.路径规划是协同执行任务的首要问题,考虑到无人机集群路径规划的复杂性和多样性,近年来,国内外学者针对该问题开展了大量的研究,本文首先介绍了无人机集群路径规划模型,包括常用的规划空间表示方法、规划目标和约束条件等,其次重点梳理归纳了基于智能优化算法的无人机集群路径规划相关研究,并阐述了不同类型智能优化算法在路径规划问题上的优缺点,最后,分析展望了基于智能优化算法的无人机集群路径规划未来发展趋势.

The cooperation of unmanned aerial vehicle(UAV)swarm has become an important style in future intelligent and unmanned combat.Path planning is the primary problem of collaborative task execution.Considering the complexity and diversity of UAV swarm path planning,in recent years,extensive research has been conducted regarding this issue.This paper therefore provides a survey of UAV swarm path planning.It first introduces the UAV swarm path planning model,including the planning space representation method,path planning objectives and constraints.Then the paper focuses on summarizing relevant research of UAV swarm path planning based on intelligent optimization algorithms,and also the advantages and problems of different types of intelligent optimization algorithms in path planning are described.Finally,future studies of UAV swarm path planning based on intelligent optimization is analyzed and prospected.