Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
395108 | Information Sciences | 2012 | 20 Pages |
Abstract
In this paper we describe the application of Ant Colony Optimization (ACO) and Particle Swarm Optimization (PSO) on the optimization of the membership functions’ 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.
Keywords
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Oscar Castillo, Ricardo Martínez-Marroquín, Patricia Melin, Fevrier Valdez, José Soria,