Tuning PSO Parameters Through Sensitivity Analysis

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DC Field	Value	Language
dc.contributor.author	Beielstein, Thomas	de
dc.contributor.author	Parsopoulos, Konstantinos E.	de
dc.contributor.author	Vrahatis, Michael N.	de
dc.date.accessioned	2004-12-07T08:21:04Z	-
dc.date.available	2004-12-07T08:21:04Z	-
dc.date.created	2002	de
dc.date.issued	2002-04-08	de
dc.identifier.uri	http://hdl.handle.net/2003/5420	-
dc.identifier.uri	http://dx.doi.org/10.17877/DE290R-15305	-
dc.description.abstract	In this paper, a first analysis of the Particle Swarm Optimization (PSO) method's parameters, using Design of Experiments (DOE) techniques, is performed, and important settings as well as interactions among the parameters, are investigated (screening).	en
dc.format.extent	134382 bytes	-
dc.format.extent	75696 bytes	-
dc.format.mimetype	application/pdf	-
dc.format.mimetype	application/postscript	-
dc.language.iso	en	de
dc.publisher	Universität Dortmund	de
dc.relation.ispartofseries	Reihe Computational Intelligence ; 124	de
dc.subject.ddc	004	de
dc.title	Tuning PSO Parameters Through Sensitivity Analysis	en
dc.type	Text	de
dc.type.publicationtype	report	-
dcterms.accessRights	open access	-
Appears in Collections:	Sonderforschungsbereich (SFB) 531

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