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dc.date.accessioned 2012-10-18T16:14:18Z
dc.date.available 2012-10-18T16:14:18Z
dc.date.issued 2006-10
dc.identifier.uri http://sedici.unlp.edu.ar/handle/10915/22622
dc.description.abstract In this paper, the three-stage two-dimensional rectangular strip packing problem is tackled using genetic algorithms. A new problem dependent recombination operator, called best inherited levels recombination (BIL), is introduced. A comparison of its performance is carried out with respect to four classical recombination operators. A complete study of the influence of the recombination operators on the genetic search, including the trade-off between exploration and exploitation in the search process, is presented. The results show that the use of our specialized BIL recombination outperforms the others more generic on all problem instances for all the metrics tested en
dc.format.extent 1126-1138 es
dc.language en es
dc.subject Algorithms es
dc.subject strip packing es
dc.subject recombination es
dc.subject genetic algorithms es
dc.title A comparison of different recombination operators for the 2-dimensional strip packing problem en
dc.type Objeto de conferencia es
sedici.creator.person Salto, Carolina es
sedici.description.note VII Workshop de Agentes y Sistemas Inteligentes (WASI) 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 2006-10
sedici.relation.event XII Congreso Argentino de 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)