The use of metaheuristics based on clusters of particles for problem solving in combinatorial optimization: A case study of CVRP

dc.contributor.author	Gómez Gómez, Alberto
dc.contributor.author	Fuente García, David Alfonso de la
dc.contributor.author	García Fernández, Nazario
dc.contributor.author	Puente García, Francisco Javier
dc.contributor.author	Parreño Fernández, José
dc.date.accessioned	2016-03-22T13:15:55Z
dc.date.available	2016-03-22T13:15:55Z
dc.date.issued	2010
dc.identifier.citation	Proceedings of the 2010 International Conference on Artificial Intelligence, ICAI 2010, 2, p. 795-799 (2010)
dc.identifier.isbn	9781601321480
dc.identifier.uri	http://www.scopus.com/inward/record.url?eid=2-s2.0-84866084044&partnerID=40&md5=6ad8d2b451ec152dc2a9ef2f43679e03
dc.identifier.uri	http://hdl.handle.net/10651/36225
dc.description	2010 International Conference on Artificial Intelligence, ICAI 2010 (2010. Las Vegas, NV)
dc.description.sponsorship	Univ. California, Berkeley, Berkeley Initiative;Soft Comput. (BISC);Univ. South. California, Collab. Adv. Comput. Simulations (CACS);Uni. Texas Austin, Intelligent Data Explor. Anal. Lab.;Harvard Univ., Harvard Stat. Dep. Genomics Bioinformatics Lab.
dc.format.extent	p. 795-799
dc.language.iso	eng
dc.relation.ispartof	Proceedings of the 2010 International Conference on Artificial Intelligence, ICAI 2010
dc.rights	©,
dc.source	Scopus
dc.title	The use of metaheuristics based on clusters of particles for problem solving in combinatorial optimization: A case study of CVRP	eng
dc.type	conference output	spa

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