文献类型：会议论文

英文题名：Path Planning of Mobile Robot Based on Genetic Bee Colony Algorithm

作者：Wang, Song[1];Li, Hong-xing[2];Zhang, Yi-nong[2]

通讯作者：Li, HX[1]

机构：[1]Beijing Union Univ, Beijing Key Lab Informat Serv Engn, Beijing 100101, Peoples R China;[2]Beijing Union Univ, Coll Automat, Beijing 100101, Peoples R China

第一机构：北京联合大学北京市信息服务工程重点实验室

通讯机构：[1]corresponding author), Beijing Union Univ, Coll Automat, Beijing 100101, Peoples R China.|[1141751]北京联合大学城市轨道交通与物流学院;[11417]北京联合大学;

会议论文集：International Conference on Computer, Mechatronics and Electronic Engineering (CMEE)

会议日期：NOV 20-21, 2016

会议地点：Beijing, PEOPLES R CHINA

语种：英文

外文关键词：Path planning; Artificial bee colony algorithm; Genetic algorithm; Grid method

摘要：In order to solve the problem of global path planning for mobile robot, a global optimization algorithm based on genetic bee colony algorithm is proposed. This algorithm is combining the global optimization strategy of the genetic algorithm and artificial bee colony algorithm. The improved crossover and mutation operator are introduced into the algorithm to increase the diversity of food source, effectively avoiding the swarm into local optimum, improving the ability of search for the food source. Besides, a strategy of adaptive selection has ability to search the optimal food source. A large number of the experiment and comparative analysis are carried out by using grid method in this paper. Experimental results show that this method has high precision and fast convergence speed, and it is an effective method for path planning.