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Flower pollination algorithm: a comprehensive review

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Abstract

Flower pollination algorithm (FPA) is a computational intelligence metaheuristic that takes its metaphor from flowers proliferation role in plants. This paper provides a comprehensive review of all issues related to FPA: biological inspiration, fundamentals, previous studies and comparisons, implementation, variants, hybrids, and applications. Besides, it makes a comparison between FPA and six different metaheuristics such as genetic algorithm, cuckoo search, grasshopper optimization algorithm, and others on solving a constrained engineering optimization problem . The experimental results are statistically analyzed with non-parametric Friedman test which indicates that FPA is superior more than other competitors in solving the given problem.

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  1. Department of Operations Research, Faculty of Computers and Informatics, Zagazig University, El-Zera Square, Zagazig, Sharqiyah, Egypt

    Mohamed Abdel-Basset & Laila A. Shawky

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Abdel-Basset, M., Shawky, L.A. Flower pollination algorithm: a comprehensive review. Artif Intell Rev 52, 2533–2557 (2019). https://doi.org/10.1007/s10462-018-9624-4

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