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Recent Advances on Hybrid Approaches for Designing Intelligent Systems pp 163–175Cite as

Optimization of Fuzzy Controllers Design Using the Bee Colony Algorithm

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Part of the book series: Studies in Computational Intelligence ((SCI,volume 547))

Abstract

In this chapter we present the application of the optimization method using bee colony (BCO for its acronym in English, Bee Colony Optimization), for optimizing fuzzy controllers, BCO is a heuristic technique inspired by the behavior of honey bees in the nature, to solve optimization problems. This was tested in two BCO optimization problems, one optimized set of mathematical functions for twenty to fifty dimensions, and two fuzzy controllers’ optimization. The results are compared with other bio-inspired algorithms state of the art, of which we highlight that there is a lot of competition in terms of quality and consistency in the results, even if the method is one of the latest in the field of collective intelligence. Similarly presents some interesting observations derived from observed performance.

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Authors and Affiliations

  1. Tijuana Institute of Technology, Tijuana, México

    Camilo Caraveo & Oscar Castillo

Authors
  1. Camilo Caraveo
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  2. Oscar Castillo
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Corresponding author

Correspondence to Oscar Castillo .

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Editors and Affiliations

  1. Division of Graduate Studies and Research, Tijuana Institute of Technology, Tijuana, Mexico

    Oscar Castillo

  2. Division of Graduate Studies and Research, Tijuana Institute of Technology, Tijuana, Mexico

    Patricia Melin

  3. Department of Electrical and Computer Engineering, University of Alberta, Edmonton, Alberta, Canada

    Witold Pedrycz

  4. Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland

    Janusz Kacprzyk

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Caraveo, C., Castillo, O. (2014). Optimization of Fuzzy Controllers Design Using the Bee Colony Algorithm. In: Castillo, O., Melin, P., Pedrycz, W., Kacprzyk, J. (eds) Recent Advances on Hybrid Approaches for Designing Intelligent Systems. Studies in Computational Intelligence, vol 547. Springer, Cham. https://doi.org/10.1007/978-3-319-05170-3_12

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  • DOI: https://doi.org/10.1007/978-3-319-05170-3_12

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-05169-7

  • Online ISBN: 978-3-319-05170-3

  • eBook Packages: EngineeringEngineering (R0)

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