Bat algorithm: Difference between revisions

Revision as of 05:19, 3 April 2012

Revision as of 17:26, 17 April 2012

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Bat-inspired algorithm is a [[metaheuristic]] search [[optimization]] developed by Xin-She Yang in 2010.<ref>Yang, X.- S. Yang, A New Metaheuristic Bat-Inspired Algorithm, in: Nature Inspired Cooperative Strategies for Optimization (NISCO 2010) (Eds. J. R. Gonzalez et al.), Studies

in Computational Intelligence, Springer Berlin, 284, Springer, 65-74 (2010). http://arxiv.org/abs/1004.4170 </ref> This bat algorithm is based on the echolocation behaviour of [[microbats]] with varying pulse rates of emission and loudness.<ref>Altringham, J. D., Bats: Biology and Behaviour, Oxford University Press, (1996).</ref><ref>Richardson, P., Bats. Natural History Museum, London, (2008)</ref>

== Algorithm Description ==

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A fuzzy bat clustering method has been developed to solve ergonomic workplace problems<ref>Khan, K., Nikov, A., Sahai A., A Fuzzy Bat Clustering Method for Ergonomic Screening of Office Workplaces,S3T 2011,

Advances in Intelligent and Soft Computing, 2011, Volume 101/2011, 59-66 (2011).</ref>

An interesting approach using fuzzy systems and bat algorithm has shown

a reliable match between prediction and actual data for exergy modelling.<ref>T. A. Lemma, Use of fuzzy systems and bat algorithm for exergy modelling in a gas turbine generator, IEEE Colloquium on Humanities, Science and Engineering (CHUSER'2011), pp. 305-310 (2011).</ref>

== References ==