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A comprehensive study of cuckoo-inspired algorithms

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Abstract

Nature-inspired metaheuristic algorithms are considered as the most effective techniques for solving various optimization problems. This paper provides a briefly review of the key features of the cuckoo-inspired metaheuristics: cuckoo search (CS) and cuckoo optimization algorithm (COA). In addition, it discusses some of their important and emerging studies, investigates their applications in several fields, and finally clarifies the differences between both algorithms so as to remove confusion between them.

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  1. Faculty of Computers and Informatics, Zagazig University, Zagazig, Egypt

    Mohamed Abdel-Basset, Abdel-Naser Hessin & Lila Abdel-Fatah

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  1. Mohamed Abdel-Basset
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  2. Abdel-Naser Hessin
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Correspondence to Mohamed Abdel-Basset.

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Abdel-Basset, M., Hessin, AN. & Abdel-Fatah, L. A comprehensive study of cuckoo-inspired algorithms. Neural Comput & Applic 29, 345–361 (2018). https://doi.org/10.1007/s00521-016-2464-8

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