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dc.contributor.authorJian, Ming-chungen_US
dc.contributor.authorChen, Ying-pingen_US
dc.date.accessioned2014-12-08T15:24:58Z-
dc.date.available2014-12-08T15:24:58Z-
dc.date.issued2006en_US
dc.identifier.isbn978-1-59593-186-3en_US
dc.identifier.urihttp://hdl.handle.net/11536/17341-
dc.description.abstractIn this paper, we introduce the recombination operator with the technique of dynamic linkage discovery to particle swarm optimization (PSO) in order to improve the performance of PSO. Numerical experiments are conducted on a set of carefully designed benchmark functions and demonstrate good performance achieved by the proposed methodology.en_US
dc.language.isoen_USen_US
dc.subjectdynamic linkage discoveryen_US
dc.subjectbuilding blocksen_US
dc.subjectrecombination operatoren_US
dc.subjectparticle swarm optimizationen_US
dc.subjectgenetic algorithmen_US
dc.titleIntroducing recombination with dynamic linkage discovery to particle swarm optimizationen_US
dc.typeProceedings Paperen_US
dc.identifier.journalGECCO 2006: Genetic and Evolutionary Computation Conference, Vol 1 and 2en_US
dc.citation.spage85en_US
dc.citation.epage86en_US
dc.contributor.department資訊工程學系zh_TW
dc.contributor.departmentDepartment of Computer Scienceen_US
dc.identifier.wosnumberWOS:000249917300011-
Appears in Collections:Conferences Paper