Flower pollination algorithm: a comprehensive review

Mohamed Abdel-Basset, Laila A. Shawky

Research output: Contribution to journalReview articlepeer-review

155 Citations (Scopus)

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.

Original languageEnglish
Pages (from-to)2533-2557
Number of pages25
JournalArtificial Intelligence Review
Volume52
Issue number4
DOIs
Publication statusPublished - 1 Dec 2019
Externally publishedYes

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