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Recent Advances in Interval Type-2 Fuzzy Systems pp 13–18Cite as

Bio-Inspired Optimization Methods

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Part of the book series: SpringerBriefs in Applied Sciences and Technology ((BRIEFSINTELL,volume 1))

Abstract

In this chapter a brief overview of the basic concepts from bio-inspired optimization methods needed for this work is presented. In particular, the methods that are covered in this chapter are: particle swarm optimization, genetic algorithms and ant colony optimization.

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References

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Authors and Affiliations

  1. Division of Graduate Studies, Tijuana Institute of Technology, Chula Vista, CA, 91909, USA

    Oscar Castillo & Patricia Melin

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  1. Oscar Castillo
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  2. Patricia Melin
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Castillo, O., Melin, P. (2012). Bio-Inspired Optimization Methods. In: Recent Advances in Interval Type-2 Fuzzy Systems. SpringerBriefs in Applied Sciences and Technology(), vol 1. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-28956-9_3

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  • DOI: https://doi.org/10.1007/978-3-642-28956-9_3

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-28955-2

  • Online ISBN: 978-3-642-28956-9

  • eBook Packages: EngineeringEngineering (R0)

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