Research on Differential Evolution Algorithm for Path Planning for Unmanned Aerial Vehicle in Ocean Environment
作者：
傅阳光;周成平;胡汉平
通讯作者：
Fu, Y.-G.(yangguangfu@yahoo.com.cn)
作者机构：
[傅阳光] School of Computer Science and Technology, University of South China, Hengyang 421001, Hunan, China
[周成平; 傅阳光; 胡汉平] Institute for Pattern Recognition and Artificial Intelligence, Huazhong University of Science and Technology, Wuhan 430074, Hubei, China
通讯机构：
[Fu, Y.-G.] S
School of Computer Science and Technology, University of South China, China
语种：
中文
关键词：
飞行器控制、导航技术;无人飞行器;航迹规划;地形预处理;差分进化;遗传算法;粒子群优化
关键词(英文)：
Control and navigation technology of aerocraft;Differential evolution;Genetic algorithm;Particle swarm optimization;Path planning;Terrain pretreatment;Unmanned aerial vehicle
To investigate the path of unmanned aerial vehicle (UA) in ocean environment, a method based on the differential evolution (DE) is proposed. It pretreats the planning environment and takes all islands as threatened areas, the path planning problem is simplified as a two-dimensional planning problem. A real number coding is used to represent the candidate paths, and a mathematical model of path cost is established. The performance of differential evolution algorithm is compared with that of genetic algorithm (GA) and particle swarm optimization (PSO) in terms of path quality, robustness and con...
