无人机航迹规划群智能优化算法综述

无人机航迹规划是指根据任务目标规划出满足约束条件的飞行轨迹.航迹规划的好坏,对任务的完成产生重大的影响.因此,对航迹规划的研究成为了无人机技术研究的重要内容.本文综述了无人机航迹规划研究的现状,分别介绍了粒子群算法、蚁群算法、蜂群算法三种常见的群智能优化算法及其优缺点,最后对无人机航迹规划群智能优化算法的发展趋势进行了展望.

A Summary of Intelligent Optimization Algorithm for UAV Path Planning

The flight path planning which is to meet the constraints according to the mission objectives is UAV path planning. The quality of the path planning has a significant impact on the completion of the mission. Therefore, the study of path planning has become an important part of UAV technology research. This paper reviews the current researches of UAV flight planning, introduces three common intelligent optimization algorithms such as particle swarm optimization, ant colony optimization and artificial bee colony algorithm and their advantages and disadvantages. Finally, the development trend of intelligent optimization for UAV path planning is prospected.