期刊
ARTIFICIAL INTELLIGENCE REVIEW
卷 52, 期 4, 页码 2533-2557出版社
SPRINGER
DOI: 10.1007/s10462-018-9624-4
关键词
Flower pollination algorithm; Metaheuristic; Cuckoo search; Genetic algorithm; Optimization
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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