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Erschienen in:
Mathematical Analysis of Nature-Inspired Algorithms Kapitel lesen Erstes Kapitel lesen

2018 | OriginalPaper | Buchkapitel

Variants of the Flower Pollination Algorithm: A Review

verfasst von : Zaid Abdi Alkareem Alyasseri, Ahamad Tajudin Khader, Mohammed Azmi Al-Betar, Mohammed A. Awadallah, Xin-She Yang

Erschienen in: Nature-Inspired Algorithms and Applied Optimization

Verlag: Springer International Publishing

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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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Vorheriges Kapitel On Efficiently Solving the Vehicle Routing Problem with Time Windows Using the Bat Algorithm with Random Reinsertion Operators
Nächstes Kapitel On the Hypercomplex-Based Search Spaces for Optimization Purposes
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Metadaten
Titel
Variants of the Flower Pollination Algorithm: A Review
verfasst von
Zaid Abdi Alkareem Alyasseri
Ahamad Tajudin Khader
Mohammed Azmi Al-Betar
Mohammed A. Awadallah
Xin-She Yang
Copyright-Jahr
2018
Buch
Nature-Inspired Algorithms and Applied Optimization

Print ISBN: 978-3-319-67668-5

Electronic ISBN: 978-3-319-67669-2

Copyright-Jahr: 2018

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

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