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Multimodal function optimisation with cuckoo search algorithm
Blekinge Institute of Technology, School of Computing.
Blekinge Institute of Technology, School of Computing.
2013 (English)In: International Journal of Bio-Inspired Computation (IJBIC), ISSN 1758-0366, Vol. 5, no 2, 73-83 p.Article in journal (Refereed) Published
Abstract [en]

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.

Place, publisher, year, edition, pages
Interscience Publishers , 2013. Vol. 5, no 2, 73-83 p.
Keyword [en]
Optimization, Multimodal problems, Cuckoo search
National Category
Mathematics Telecommunications Computer Science
Identifiers
URN: urn:nbn:se:bth-6635DOI: 10.1504/..053509ISI: 000320230800001Local ID: oai:bth.se:forskinfo2DD8B95CE757A295C1257B73002D55FFOAI: oai:DiVA.org:bth-6635DiVA: diva2:834159
Available from: 2014-07-18 Created: 2013-05-22 Last updated: 2015-06-30Bibliographically approved

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Jamil, MominZepernick, Hans-Jürgen
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