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Bio-Inspired Optimization Methods

  • Chapter
Springer Handbook of Computational Intelligence

Part of the book series: Springer Handbooks ((SHB))

Abstract

Although graphic processing units (GlossaryTerm

GPU

s) have been traditionally used only for computer graphics, a recent technique called general-purpose computing on graphics processing units allows GlossaryTerm

GPU

s to perform numerical computations usually handled by the GlossaryTerm

CPU

(central processing unit). The advantage of using GlossaryTerm

GPU

s for general purpose computation is the performance speedup that can be achieved due to the parallel architecture of these devices. This chapter describes the use of bio-inspired optimization methods as particle swarm optimization and genetic algorithms on GlossaryTerm

GPU

s to demonstrate the performance that can be achieved using this technology, primarily with regard to using GlossaryTerm

CPU

s.

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Abbreviations

CPU:

central processing unit

CUDA:

compute unified device architecture

FGA:

fuzzy generic algorithm

FPSO:

fuzzy particle swarm optimization

GA:

genetic algorithm

GPS:

genetic pattern search

GPU:

graphics processing unit

PSO:

particle swarm optimization

PS:

pattern search

SA:

simulated annealing

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Authors and Affiliations

  1. Tijuana Institute of Technology, Calzada del Tecnológico S/N, Tomas Aquino, B.C. 22414, Tijuana, Mexico

    Fevrier Valdez

Authors
  1. Fevrier Valdez
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Correspondence to Fevrier Valdez .

Editor information

Editors and Affiliations

  1. Systems Research Inst., Polish Academy of Sciences, ul. Newelska 6, 01-447, Warsaw, Poland

    Janusz Kacprzyk

  2. Dep. Electrical and Computer Engineering, University of Alberta, 116 Street 9107, T6J 2V4, Edmonton, Alberta, Canada

    Witold Pedrycz

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Valdez, F. (2015). Bio-Inspired Optimization Methods. In: Kacprzyk, J., Pedrycz, W. (eds) Springer Handbook of Computational Intelligence. Springer Handbooks. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-43505-2_81

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  • DOI: https://doi.org/10.1007/978-3-662-43505-2_81

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-662-43504-5

  • Online ISBN: 978-3-662-43505-2

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