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Flower pollination algorithm: a comprehensive review.

Authors :
Abdel-Basset, Mohamed
Shawky, Laila A.
Source :
Artificial Intelligence Review; Dec2019, Vol. 52 Issue 4, p2533-2557, 25p
Publication Year :
2019

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. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
02692821
Volume :
52
Issue :
4
Database :
Complementary Index
Journal :
Artificial Intelligence Review
Publication Type :
Academic Journal
Accession number :
139138549
Full Text :
https://doi.org/10.1007/s10462-018-9624-4