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Nature-Inspired Algorithms and Applied Optimization pp 91–118Cite as

Variants of the Flower Pollination Algorithm: A Review

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Part of the book series: Studies in Computational Intelligence ((SCI,volume 744))

Abstract

The flower pollination algorithm (FPA) is a nature-inspired algorithm that imitates the pollination behavior of flowering plants. Optimal plant reproduction strategy involves the survival of the fittest as well as the optimal reproduction of plants in terms of numbers. These factors represent the fundamentals of the FPA and are optimization-oriented. Yang developed the FPA in 2012, which has since shown superiority to other metaheuristic algorithms in solving various real-world problems, such as power and energy, signal and image processing, communications, structural design, clustering and feature selection, global function optimization, computer gaming, and wireless sensor networking. Recently, many variants of FPA have been developed by modification, hybridization, and parameter-tuning to cope with the complex nature of optimization problems. Therefore, this chapter provides a comprehensive review for FPA variants from 2012 to present.

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Acknowledgements

The first author would like to thank the University Science Malaysia (USM) and The World Academic Science (TWAS) for supporting his Ph.D. study which is under (USM-TWAS Postgraduate Fellowship, FR number: 3240287134).

Author information

Authors and Affiliations

  1. School of Computer Sciences, Universiti Sains Malaysia (USM), Pulau Pinang, Malaysia

    Zaid Abdi Alkareem Alyasseri & Ahamad Tajudin Khader

  2. ECE Department - Faculty of Engineering, University of Kufa, P.O. Box 21, Najaf, Iraq

    Zaid Abdi Alkareem Alyasseri

  3. Department of Information Technology, Al-Huson University College, Al-Balqa Applied University, P.O. Box 50, Irbid, Al-Huson, Jordan

    Mohammed Azmi Al-Betar

  4. Department of Computer Science, Al-Aqsa University, P.O. Box 4051, Gaza, Palestine

    Mohammed A. Awadallah

  5. School of Science and Technology, Middlesex University, London, NW4 4BT, UK

    Xin-She Yang

Authors
  1. Zaid Abdi Alkareem Alyasseri
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  2. Ahamad Tajudin Khader
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  3. Mohammed Azmi Al-Betar
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  4. Mohammed A. Awadallah
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  5. Xin-She Yang
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Corresponding author

Correspondence to Mohammed Azmi Al-Betar .

Editor information

Editors and Affiliations

  1. School of Science and Technology, Middlesex University, London, United Kingdom

    Xin-She Yang

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Alyasseri, Z.A.A., Khader, A.T., Al-Betar, M.A., Awadallah, M.A., Yang, XS. (2018). Variants of the Flower Pollination Algorithm: A Review. In: Yang, XS. (eds) Nature-Inspired Algorithms and Applied Optimization. Studies in Computational Intelligence, vol 744. Springer, Cham. https://doi.org/10.1007/978-3-319-67669-2_5

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  • DOI: https://doi.org/10.1007/978-3-319-67669-2_5

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  • Online ISBN: 978-3-319-67669-2

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