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09 Mar 2013
Cuckoo search: recent advances and applications
 XinShe Yang,
 Suash Deb
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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 selforganizing systems, and finally, we propose some important topics for further research.
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 Title
 Cuckoo search: recent advances and applications
 Journal

Neural Computing and Applications
Volume 24, Issue 1 , pp 169174
 Cover Date
 20140101
 DOI
 10.1007/s0052101313671
 Print ISSN
 09410643
 Online ISSN
 14333058
 Publisher
 Springer London
 Additional Links
 Topics
 Keywords

 Cuckoo search
 Convergence
 Swarm intelligence optimization
 Metaheuristic
 Natureinspired algorithm
 Industry Sectors
 Authors

 XinShe Yang ^{(1)}
 Suash Deb ^{(2)}
 Author Affiliations

 1. School of Science and Technology, Middlesex University, The Burroughs, London, NW4 4BT, UK
 2. Cambridge Institute of Technology, Cambridge Village, Tatisilwai, Ranchi, 835103, Jharkhand, India