Comparative study of bio-inspired algorithms applied to the optimization of type-1 and type-2 fuzzy controllers for an autonomous mobile robot

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• 作者：Oscar Castillo ; ^{ocastillo@hafsamx.org} ; Ricardo Martí ; nez-Marroquí ; n ; Patricia Melin ; Fevrier Valdez ; José ; Soria
• 关键词：Fuzzy control ; Particle Swarm Optimization ; Ant Colony Optimization ; Autonomous robots ; Bio-inspired algorithms
• 刊名：Information Sciences
• 出版年：2012
• 期刊代码：62_00200255
• 类别：cp
• 出版时间：1 June, 2012
• 卷：192
• 期：Complete
• 页码：19-38
• 文件大小：1615 K

摘要

In this paper we describe the application of Ant Colony Optimization (ACO) and Particle Swarm Optimization (PSO) on the optimization of the membership functions鈥?parameters of a fuzzy logic controller (FLC) in order to find the optimal intelligent controller for an autonomous wheeled mobile robot. The results obtained by the simulations performed are statistically compared among them and the previous work results obtained with GAs in order to find which is the best optimization technique for this particular robotics problem.