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移动机器人对于人工免疫算法的改进中的路径规划和研究

Mobile Robot Path Planning and Research in the Improved Artificial Immune Algorithm
作者:Yuanbin HOUWei WangXiaovue Lu 作者单位:School of Electric and Control Engineering Xi'an University of Science and Technology Xi'an,China;School of Electric and Control Engineering Xi'an University of Science and Technology Xi'an,China 加工时间:2014-04-11 信息来源:科技报告(Other) 索取原文[6 页]
关键词:光机电;机器人;路径规划;人工免疫算法
摘 要:Aim at local optimal problem in the path planning of mobile robot by artificial immune algorithm,it is proposed that the improved artificial immune algorithm of mobile robot path planning.Based on artificial immunity algorithm,the potential function method of an artificial potential field is used in this algorithm,improving randomness of the initial population of the artificial immune algorithm,then the algorithm make initial population turn to evolutionary operation through crossover,variance and selection operator to get optimum antibody.The simulation results showed that this algorithm is easy to get the optimal path,at the same time,increasing the speed of the path planning,and the length of the optimal path planning is less 28.5% compare with the traditional immune algorithm.
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