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The Scientific World Journal
Volume 2014 (2014), Article ID 943403, 8 pages
http://dx.doi.org/10.1155/2014/943403
Research Article

Adaptive Cuckoo Search Algorithm for Unconstrained Optimization

Faculty of Mechanical and Manufacturing Engineering, Universiti Tun Hussein Onn Malaysia (UTHM), 86400 Parit Raja, Batu Pahat, Johor, Malaysia

Received 24 June 2014; Accepted 15 August 2014; Published 14 September 2014

Academic Editor: Nirupam Chakraborti

Copyright © 2014 Pauline Ong. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

Modification of the intensification and diversification approaches in the recently developed cuckoo search algorithm (CSA) is performed. The alteration involves the implementation of adaptive step size adjustment strategy, and thus enabling faster convergence to the global optimal solutions. The feasibility of the proposed algorithm is validated against benchmark optimization functions, where the obtained results demonstrate a marked improvement over the standard CSA, in all the cases.