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Cat Swarm Optimization (CSO) Algorithm

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Advanced Optimization by Nature-Inspired Algorithms

Part of the book series: Studies in Computational Intelligence ((SCI,volume 720))

Abstract

In this chapter, a brief literature review of the Cat Swarm Optimization (CSO) algorithm is presented. Then the natural process, the basic CSO algorithm iteration procedure, and the computational steps of the algorithm are detailed. Finally, a pseudo code of CSO algorithm is also presented to demonstrate the implementation of this optimization technique.

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Author information

Authors and Affiliations

  1. Department of Irrigation and Reclamation Engineering, Faculty of Agricultural Engineering and Technology, College of Agriculture and Natural Resources, University of Tehran, Karaj, Tehran, 31587-77871, Iran

    Mahdi Bahrami & Omid Bozorg-Haddad

  2. Department of Civil and Environmental Engineering, North Dakota State University, Dept 2470, Fargo, ND, 58108-6050, USA

    Xuefeng Chu

Authors
  1. Mahdi Bahrami
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  2. Omid Bozorg-Haddad
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  3. Xuefeng Chu
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Corresponding author

Correspondence to Omid Bozorg-Haddad .

Editor information

Editors and Affiliations

  1. Irrigation & Reclamation Engineering, University of Tehran College of Agriculture & Natural Resources, Karaj, Iran

    Omid Bozorg-Haddad

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Bahrami, M., Bozorg-Haddad, O., Chu, X. (2018). Cat Swarm Optimization (CSO) Algorithm. In: Bozorg-Haddad, O. (eds) Advanced Optimization by Nature-Inspired Algorithms. Studies in Computational Intelligence, vol 720. Springer, Singapore. https://doi.org/10.1007/978-981-10-5221-7_2

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  • DOI: https://doi.org/10.1007/978-981-10-5221-7_2

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-5220-0

  • Online ISBN: 978-981-10-5221-7

  • eBook Packages: EngineeringEngineering (R0)

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