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Soccer-Inspired Metaheuristics: Systematic Review of Recent Research and Applications

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Applied Optimization and Swarm Intelligence

Part of the book series: Springer Tracts in Nature-Inspired Computing ((STNIC))

Abstract

Since the proposal of metaheuristics such as Genetic Algorithm, Particle Swarm Optimization or Ant Colony Optimization, methods inheriting their core concepts have gained great popularity, lasting this momentum until the present day. For the modeling of these algorithms, a myriad of inspirational sources have been deemed. Some examples of inspiration are the behavioral patterns of animals, genetic inheritance mechanisms, physical phenomena or social behavior of human beings. In this regard, the number of methods finding their inspiration in soccer concepts has grown considerably in the last years. We can find examples such as Soccer Game Optimization, World Cup Optimization or the Golden Ball, which have attained a consistent literature around them. This chapter will systematically review the state of the art around this specific kind of metaheuristics, highlighting their applications in the literature.

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Notes

  1. 1.

    TTA has been published in June 2020, the same month in which this chapter is being written.

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Acknowledgements

Eneko Osaba would like to thank the Basque Government for its funding support through the EMAITEK and ELKARTEK programs.

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Authors and Affiliations

  1. TECNALIA, Basque Research and Technology Alliance (BRTA), Mikeletegi Pasealekua 2, 20009, Donostia-San Sebastian, Spain

    Eneko Osaba

  2. School of Science and Technology, Middlesex University, Hendon Campus, London, NW4 4BT, UK

    Xin-She Yang

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  1. Eneko Osaba
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  2. Xin-She Yang
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Correspondence to Eneko Osaba .

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  1. Tecnalia Research and Innovation, BRTA (Basque Research and Technology Alliance), Derio, Spain

    Eneko Osaba

  2. Department of Design Engineering and Mathematics, School of Science and Technology, Middlesex University, London, UK

    Xin-She Yang

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Osaba, E., Yang, XS. (2021). Soccer-Inspired Metaheuristics: Systematic Review of Recent Research and Applications. In: Osaba, E., Yang, XS. (eds) Applied Optimization and Swarm Intelligence. Springer Tracts in Nature-Inspired Computing. Springer, Singapore. https://doi.org/10.1007/978-981-16-0662-5_5

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