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An Introduction to Metaheuristics for Optimization pp 97–102Cite as

Particle Swarm Optimization

Part of the Natural Computing Series book series (NCS)

Abstract

Inspired by animal behavior, Eberhart and Kennedy [49, 22] proposed in 1995 an optimization method called Particle Swarm Optimization (PSO). In this approach, a swarm of particles simultaneously explore a problem’s search space with the goal of finding the global optimum configuration.

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Authors and Affiliations

  1. Département d’informatique, Université de Genève, Carouge, Switzerland

    Bastien Chopard

  2. Faculté des hautes études commerciales (HEC), Université de Lausanne, Lausanne, Switzerland

    Marco Tomassini

Authors
  1. Bastien Chopard
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  2. Marco Tomassini
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Cite this chapter

Chopard, B., Tomassini, M. (2018). Particle Swarm Optimization. In: An Introduction to Metaheuristics for Optimization. Natural Computing Series. Springer, Cham. https://doi.org/10.1007/978-3-319-93073-2_6

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  • DOI: https://doi.org/10.1007/978-3-319-93073-2_6

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-93072-5

  • Online ISBN: 978-3-319-93073-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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