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2014 | OriginalPaper | Buchkapitel

A Fuzzy Control Design for an Autonomous Mobile Robot Using Ant Colony Optimization

verfasst von : Evelia Lizarraga, Oscar Castillo, José Soria, Fevrier Valdez

Erschienen in: Recent Advances on Hybrid Approaches for Designing Intelligent Systems

Verlag: Springer International Publishing

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Abstract

In this chapter we describe the methodology to design an optimized fuzzy logic controller for an autonomous mobile robot, using Ant Colony Optimization (ACO). This is achieved by applying a systematic and hierarchical optimization modifying the conventional ACO algorithm using ants partition. The simulations results proved that the proposed algorithm performs even better that the classic ACO algorithm when optimizing membership functions of FLC, parameters and fuzzy rules.

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Titel: A Fuzzy Control Design for an Autonomous Mobile Robot Using Ant Colony Optimization
verfasst von: Evelia Lizarraga
Oscar Castillo
José Soria
Fevrier Valdez
Verlag: Springer International Publishing
Buch: Recent Advances on Hybrid Approaches for Designing Intelligent Systems
Print ISBN: 978-3-319-05169-7

Electronic ISBN: 978-3-319-05170-3

Copyright-Jahr: 2014
DOI: https://doi.org/10.1007/978-3-319-05170-3_20

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