Title: Multimodal function optimisation with cuckoo search algorithm

Authors: Momin Jamil; Hans-Jürgen Zepernick

Addresses: Blekinge Institute of Technology, SE-37179, Karlskrona, Sweden; Harman International, Cooperate Division, Becker-Goering Str. 16, D-76307 Karlsbad, Germany ' Blekinge Institute of Technology, SE-37179, Karlskrona, Sweden

Abstract: Modern engineering and scientific optimisation problems are becoming complicated. In order to cope with the increasing level of difficulty of these problems, optimisation methods are required to find more than one solution to these problems. The aim of this paper is to gain an insight into the ability of cuckoo search to locate more than one solution for multimodal problems. We also study the performance of this algorithm in the additive white Gaussian noise. Numerical results are presented to show that the cuckoo search algorithm can successfully locate multiple solutions in both non-noise and additive white Gaussian noise with relatively high degree of accuracy.

Keywords: cuckoo search; additive white Gaussian noise; AWGN; multi-modal optimisation; bio-inspired computation.

DOI: 10.1504/IJBIC.2013.053509

International Journal of Bio-Inspired Computation, 2013 Vol.5 No.2, pp.73 - 83

Available online: 24 Apr 2013 *

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