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dc.date.accessioned 2012-10-09T12:34:13Z
dc.date.available 2012-10-09T12:34:13Z
dc.date.issued 2002
dc.identifier.uri http://sedici.unlp.edu.ar/handle/10915/22065
dc.description.abstract In the restricted single-machine common due date problem the goal is to find a schedule for the n jobs which jointly minimizes the sum of earliness and tardiness penalties, while for the weighted tardiness problem the goal is to find a schedule that minimizes the tardiness penalties. Both problems, even in theirs simplest formulations, are an NP-Hard optimization problem. This presentation discusses how problem specific knowledge is inserted into the evolutionary algorithm to enhance its performance. en
dc.format.extent 468-472 es
dc.language en es
dc.subject Inserting problem-specific knowledge en
dc.subject ARTIFICIAL INTELLIGENCE es
dc.subject Knowledge acquisition es
dc.subject multirecombined evolutionary algorithms en
dc.subject Algorithms es
dc.title Inserting problem-specific knowledge in multirecombined evolutionary algorithms en
dc.type Objeto de conferencia 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 Vilanova, Gabriela es
sedici.creator.person Gallard, Raúl Hector es
sedici.description.note Eje: Sistemas inteligentes 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 2002-05 es
sedici.relation.event IV 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)