Improving cutting-stock plans with multi-objective genetic algorithms

dc.contributor.author	Muñoz, César
dc.contributor.author	Sierra Sánchez, María Rita
dc.contributor.author	Puente Peinador, Jorge
dc.contributor.author	Rodríguez Vela, María del Camino
dc.contributor.author	Varela Arias, José Ramiro
dc.date.accessioned	2015-07-13T10:24:28Z
dc.date.available	2015-07-13T10:24:28Z
dc.date.issued	2007
dc.identifier.citation	Bio-inspired Modeling of Cognitive Tasks, IWINAC 2007. Lecture Notes in Computer Science, 4527. Springer, Berlin, Heidelberg; doi:10.1007/978-3-540-73053-8_53
dc.identifier.isbn	978-3-540-73052-1
dc.identifier.uri	http://hdl.handle.net/10651/31600
dc.description	International Work-Conference on the Interplay Between Natural and Artificial Computation, IWINAC 2007 (2nd. 2007. La Manga del Mar Menor, Spain)	spa
dc.format.extent	p. 528-537	spa
dc.language.iso	eng	spa
dc.publisher	Springer	spa
dc.relation.ispartof	Bio-inspired Modeling of Cognitive Tasks	spa
dc.relation.ispartofseries	Lecture Notes in Computer Science;4527
dc.title	Improving cutting-stock plans with multi-objective genetic algorithms	eng
dc.type	book part	spa
dc.identifier.doi	10.1007/978-3-540-73053-8_53
dc.relation.publisherversion	http://dx.doi.org/10.1007/978-3-540-73053-8_53	spa

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