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dc.date.accessioned 2012-09-27T15:08:07Z
dc.date.available 2012-09-27T15:08:07Z
dc.date.issued 2001
dc.identifier.uri http://sedici.unlp.edu.ar/handle/10915/21670
dc.description.abstract The flow shop scheduling problem (FSSP) [12], has held the attention of many researchers. In a simplest usual situation, a set of jobs must follow the same route to be executed on a set of machines (resources) and the main objective is to optimize some performance variable (makespan, tardiness, lateness, etc.). In the case of the makespan, it have been proved that when the number of machines is greater than or equal to three, the problem is NP-hard. en
dc.language en es
dc.subject Solving the flow shop scheduling problem en
dc.subject Scheduling es
dc.subject evolutionary approaches en
dc.subject ARTIFICIAL INTELLIGENCE es
dc.title Solving the flow shop scheduling problem under evolutionary approaches en
dc.type Objeto de conferencia es
sedici.creator.person Vilanova, Gabriela es
sedici.creator.person Pandolfi, Daniel es
sedici.creator.person San Pedro, María Eugenia de es
sedici.creator.person Villagra, Andrea es
sedici.creator.person Bain, María Elena es
sedici.creator.person Gallard, Raúl Hector es
sedici.description.note Eje: Inteligencia Computacional - Metaheurísticas es
sedici.subject.materias Ciencias Informáticas es
sedici.description.fulltext true es
mods.originInfo.place Red de Universidades con Carreras en Informática (RedUNCI) es
sedici.subtype Objeto de conferencia es
sedici.rights.license Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5)
sedici.rights.uri http://creativecommons.org/licenses/by-nc-sa/2.5/ar/
sedici.date.exposure 2001-05 es
sedici.relation.event III Workshop de Investigadores en Ciencias de la Computación es
sedici.description.peerReview peer-review es


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Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5) Excepto donde se diga explícitamente, este item se publica bajo la siguiente licencia Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5)