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dc.date.accessioned 2012-09-27T13:35:50Z
dc.date.available 2012-09-27T13:35:50Z
dc.date.issued 2001
dc.identifier.uri http://sedici.unlp.edu.ar/handle/10915/21648
dc.description.abstract The restricted single-machine common due date problem can be stated as follows: A set of n jobs with deterministic processing times pi and a common due date d are given. The jobs have to be processed on one machine. For each of the jobs an individual earliness αi and tardiness βi penalty is given, which is incurred, if a job is finished before or after the common due date d, respectively. The goal is to find a schedule for the n jobs which jointly minimizes the sum of earliness and tardiness penalties. Even simple in the formulation, this model leads to an optimization problem that is NP-Hard. en
dc.language en es
dc.subject ARTIFICIAL INTELLIGENCE es
dc.subject two v-shaped schedule-builder eas es
dc.subject common due date problem es
dc.title A comparison of two V-shaped schedule-builder EAs for the common due date problem en
dc.type Objeto de conferencia es
sedici.creator.person Pandolfi, Daniel es
sedici.creator.person Vilanova, Gabriela es
sedici.creator.person San Pedro, María Eugenia de es
sedici.creator.person Villagra, Andrea 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)