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A Comprehensive Review of the Flower Pollination Algorithm for Solving Engineering Problems

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Nature-Inspired Algorithms and Applied Optimization

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

Abstract

Engineering optimization problems are often solved by using metaheuristic algorithms. Flower pollination algorithm (FPA) is a nature-inspired metaheuristic algorithm and FPA have been used in a variety of engineering problems. In this book chapter, the engineering applications of FPA and its variants are reviewed, and the applications include chemical engineering, civil engineering, energy and power systems, mechanical engineering, electronical and communication engineering, computer science and others. Further research topics are also outlined.

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Authors and Affiliations

  1. Department of Civil Engineering, Istanbul University, 34320, Avcılar, Istanbul, Turkey

    Aylin Ece Kayabekir, Gebrail Bekdaş & Sinan Melih Nigdeli

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

    Xin-She Yang

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  1. Aylin Ece Kayabekir
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  2. Gebrail Bekdaş
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  3. Sinan Melih Nigdeli
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  4. Xin-She Yang
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Correspondence to Gebrail Bekdaş .

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Editors and Affiliations

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

    Xin-She Yang

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Kayabekir, A.E., Bekdaş, G., Nigdeli, S.M., Yang, XS. (2018). A Comprehensive Review of the Flower Pollination Algorithm for Solving Engineering Problems. 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_8

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  • DOI: https://doi.org/10.1007/978-3-319-67669-2_8

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