Using genetic algorithms to optimize an integrated management system for intermodal logistics

dc.contributor.author	Durán de Jesús, Javier
dc.contributor.author	López Casado, Pedro
dc.contributor.author	Abril Domingo, Evaristo
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. 774-780 (2010)
dc.identifier.isbn	9781601321480
dc.identifier.uri	http://www.scopus.com/inward/record.url?eid=2-s2.0-84866105519&partnerID=40&md5=e4d39c86f89078254c03a985af65d802
dc.identifier.uri	http://hdl.handle.net/10651/36227
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. 774-780
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	Using genetic algorithms to optimize an integrated management system for intermodal logistics
dc.type	conference output	spa

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