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Performance evaluation of the SOMA asynchronously parallel distribution

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dc.title Performance evaluation of the SOMA asynchronously parallel distribution en
dc.contributor.author Kolek, Jan
dc.contributor.author Vařacha, Pavel
dc.contributor.author Motýl, Ivo
dc.relation.ispartof International Journal of Mathematics and Computers in Simulation
dc.identifier.issn 1998-0159 Scopus Sources, Sherpa/RoMEO, JCR
dc.date.issued 2013
utb.relation.volume 7
utb.relation.issue 1
dc.citation.spage 50
dc.citation.epage 58
dc.type article
dc.language.iso en
dc.publisher North Atlantic University Union (NAUN) en
dc.relation.uri http://www.naun.org/multimedia/NAUN/mcs/16-639.pdf
dc.subject Alltoone en
dc.subject Asynchronous en
dc.subject Evolutionary algorithm en
dc.subject Optimization en
dc.subject Parallel en
dc.subject SOMA en
dc.description.abstract Self-Organising Migrating Algorithm (SOMA) is a very effective tool of evolutionary optimization. This paper deals with performed evaluation of asynchronous parallel version of SOMA, based on the strategy AllToOne. The experiment was focused on the dependence of the solution quality (finding the global extreme value or approximating to global extreme value) on the number of used algorithm threads. In total, 10 different test functions were employed. Each function had 100 dimensions to optimize and the optimization was always repeated 100 times for 1,2,3 and 4 threats. Overlay 4000 independent runs of SOMA were rune and statistically evaluated. en
utb.faculty Faculty of Applied Informatics
dc.identifier.uri http://hdl.handle.net/10563/1003097
utb.identifier.obdid 43869904
utb.identifier.scopus 2-s2.0-84872126402
utb.source j-scopus
dc.date.accessioned 2013-02-02T01:12:51Z
dc.date.available 2013-02-02T01:12:51Z
utb.contributor.internalauthor Kolek, Jan
utb.contributor.internalauthor Vařacha, Pavel
utb.contributor.internalauthor Motýl, Ivo
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