Key Laboratory of Intelligent Control and Decision of Complex Systems, Beijing 100081, China

摘要：

　　Path planning is always an essential issue and complicated optimum problem for unmanned aerial vehicle(UAV).Genetic algorithms are well applied to solve such problems as a stochastic search method.In this paper,a new method of path planning for UAV based on genetic algorithms is introduced.Reasonable coding way and fitness function are used in this improved genetic algorithm,and prior knowledge is added to the genetic algorithm.By selecting essential points and moving strategy in advance,this new method can highly reduce the computation cost and find the optimal path more efficiently.The simulation result shows that this new approach is proved to improve the search efficiency.

关键词： Genetic Algorithms Obstacle Avoidance UAV

作者: WANG Yang CHEN Wenjie

作者单位: School of Automation,Beijing Institute of Technology,Beijing 100081,China School of Automation,Beijing Institute of Technology,Beijing 100081,China;Key Laboratory of Intellig

会议类型: 国际会议

会议名称: The 33th Chinese Control Conference第33届中国控制会议

会议地点: 南京

会议语种:英文

页码: 8612-8616

在线出版日期: 2014-07-28（万方平台首次上网日期，不代表论文的发表时间）