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Mostrar registro sencillo 2012-07-19T17:44:58Z 2012-07-19T17:44:58Z 2010
dc.description.abstract Ecosystems are directly and negatively affected by many industrial risky activities such as the oil transportation and exploitation. It is therefore important that oil companies carry out a correct maintenance of their oil fields. In this work we implement in our previously proposed evolutionary optimization tool (called PAE) a set of constraint-handling techniques to solve a constrained version of the maintenance problem. The results and comparisons demonstrated that the proposed repair algorithm required less computational effort (evaluations) with the same quality of solutions for the set of instances used. en
dc.format.extent p. 41-51 es
dc.language en es
dc.title Repair algorithms and penalty functions to handling constraints in an evolutionary scheduling en
dc.type Objeto de conferencia es
sedici.identifier.isbn 978-950-9474-49-9 es
sedici.creator.person Villagra, Andrea es
sedici.creator.person Pandolfi, Daniel es
sedici.creator.person Rasjido, José es
sedici.creator.person Montenegro, Cristian es
sedici.creator.person Serón, Natalia es
sedici.creator.person Leguizamón, Mario Guillermo es
sedici.description.note Presentado en XI Workshop Agentes y Sistemas Inteligentes (WASI) es
sedici.subject.materias Ciencias Informáticas es
sedici.subject.decs Ecosistema es
sedici.description.fulltext true es 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 2010-10
sedici.relation.event XVI Congreso Argentino de Ciencias de la Computación es
sedici.description.peerReview peer-review es
sedici.subject.acmcss98 Constraints es
sedici.subject.acmcss98 Algorithms es

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