Introducing recombination with dynamic linkage discovery to particle swarm optimization

dc.citation.epage	86	en_US
dc.citation.spage	85	en_US
dc.contributor.author	Jian, Ming-chung	en_US
dc.contributor.author	Chen, Ying-ping	en_US
dc.contributor.department	資訊工程學系	zh_TW
dc.contributor.department	Department of Computer Science	en_US
dc.date.accessioned	2014-12-08T15:24:58Z
dc.date.available	2014-12-08T15:24:58Z
dc.date.issued	2006	en_US
dc.description.abstract	In 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.identifier.isbn	978-1-59593-186-3	en_US
dc.identifier.journal	GECCO 2006: Genetic and Evolutionary Computation Conference, Vol 1 and 2	en_US
dc.identifier.uri	https://ir.lib.nycu.edu.tw/handle/11536/17341
dc.identifier.wosnumber	WOS:000249917300011
dc.language.iso	en_US	en_US
dc.subject	dynamic linkage discovery	en_US
dc.subject	building blocks	en_US
dc.subject	recombination operator	en_US
dc.subject	particle swarm optimization	en_US
dc.subject	genetic algorithm	en_US
dc.title	Introducing recombination with dynamic linkage discovery to particle swarm optimization	en_US
dc.type	Proceedings Paper	en_US

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