TY - JOUR
T1 - Flower pollination algorithm
T2 - a comprehensive review
AU - Abdel-Basset, Mohamed
AU - Shawky, Laila A.
N1 - Publisher Copyright:
© 2018, Springer Science+Business Media B.V., part of Springer Nature.
PY - 2019/12/1
Y1 - 2019/12/1
N2 - 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.
AB - 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.
KW - Cuckoo search
KW - Flower pollination algorithm
KW - Genetic algorithm
KW - Metaheuristic
KW - Optimization
UR - http://www.scopus.com/inward/record.url?scp=85043703779&partnerID=8YFLogxK
U2 - 10.1007/s10462-018-9624-4
DO - 10.1007/s10462-018-9624-4
M3 - Review article
AN - SCOPUS:85043703779
SN - 0269-2821
VL - 52
SP - 2533
EP - 2557
JO - Artificial Intelligence Review
JF - Artificial Intelligence Review
IS - 4
ER -