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Neural Computing and Applications
Erschienen in: Neural Computing and Applications 1/2014

01.01.2014 | Invited Review

Cuckoo search: recent advances and applications

verfasst von: Xin-She Yang, Suash Deb

Erschienen in: Neural Computing and Applications | Ausgabe 1/2014

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Abstract

Cuckoo search (CS) is a relatively new algorithm, developed by Yang and Deb in 2009, and the same has been found to be efficient in solving global optimization problems. In this paper, we review the fundamental ideas of cuckoo search and the latest developments as well as its applications. We analyze the algorithm and gain insight into its search mechanisms and find out why it is efficient. We also discuss the essence of algorithms and its link to self-organizing systems, and finally, we propose some important topics for further research.
Vorheriger Artikel A palm vein identification system based on Gabor wavelet features
Nächster Artikel A review of feature selection methods based on mutual information

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Metadaten
Titel
Cuckoo search: recent advances and applications
verfasst von
Xin-She Yang
Suash Deb
Publikationsdatum
01.01.2014
Verlag
Springer London
Erschienen in
Neural Computing and Applications / Ausgabe 1/2014
Print ISSN: 0941-0643
Elektronische ISSN: 1433-3058
DOI
https://doi.org/10.1007/s00521-013-1367-1

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