Title: PARTICLE SWARM OPTIMIZATION FOR IMPRECISE PROBLEMS
Abstract: Scattering and Biomedical Engineering, pp. 254-264 (2002) No AccessPARTICLE SWARM OPTIMIZATION FOR IMPRECISE PROBLEMSK. E. PARSOPOULOS and M. N. VRAHATISK. E. PARSOPOULOSDepartment of Mathematics, University of Patras Artificial Intelligence, Research Center, (UPAIRC), University of Patras, GR-26110 Patras, Greece and M. N. VRAHATISDepartment of Mathematics, University of Patras Artificial Intelligence, Research Center, (UPAIRC), University of Patras, GR-26110 Patras, Greecehttps://doi.org/10.1142/9789812777140_0021Cited by:56 PreviousNext AboutSectionsPDF/EPUB ToolsAdd to favoritesDownload CitationsTrack CitationsRecommend to Library ShareShare onFacebookTwitterLinked InRedditEmail Abstract: In this paper the ability of the Particle Swarm Optimization technique to cope with noisy functions is discussed. Results of experiments performed on well known benchmark problems are presented and conclusions are derived. 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Vrahatis Michael Scattering and Biomedical EngineeringMetrics History PDF download
Publication Year: 2002
Publication Date: 2002-08-01
Language: en
Type: article
Indexed In: ['crossref']
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Cited By Count: 80
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