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Flower pollination algorithm: a comprehensive review.
- 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