Tuning PSO Parameters Through Sensitivity Analysis
| 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.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.identifier.uri | http://hdl.handle.net/2003/5420 | |
| dc.identifier.uri | http://dx.doi.org/10.17877/DE290R-15305 | |
| 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 |