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Neural Computing and Applications

, Volume 29, Issue 2, pp 345–361 | Cite as

A comprehensive study of cuckoo-inspired algorithms

  • Mohamed Abdel-Basset
  • Abdel-Naser Hessin
  • Lila Abdel-Fatah
Review

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.

Keywords

Metaheuristic Cuckoo search Cuckoo optimization algorithm 

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Copyright information

© The Natural Computing Applications Forum 2016

Authors and Affiliations

  • Mohamed Abdel-Basset
    • 1
  • Abdel-Naser Hessin
    • 1
  • Lila Abdel-Fatah
    • 1
  1. 1.Faculty of Computers and InformaticsZagazig UniversityZagazigEgypt

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