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dc.date.accessioned 2012-07-19T17:29:21Z
dc.date.available 2012-07-19T17:29:21Z
dc.date.issued 2010
dc.identifier.uri http://sedici.unlp.edu.ar/handle/10915/18807
dc.description.abstract In this paper we present a study of a parallel Ant Colony System (ACS) for the two-dimensional strip packing problem. In our computational study, we emphasize the in uence of the incorporation of the received information in the target subcolony. Colonies send their best solutions instead of sending information from the matrix of pheromones, as happens in traditional parallel ACS. The solution arriving to a colony can provide further exploitation around promising solutions as this arrived solution can be used in both, the local update of the pheromone trail and the construction solution process of an ant. The aim of the paper is to report experimental results on the behavior of different types of parallel ACS algorithms, regarding solution qualities and parallel performance. en
dc.format.extent 31-40 es
dc.language en es
dc.subject Parallel algorithms es
dc.title Parallel ACO algorithms for 2D Strip Packing en
dc.type Objeto de conferencia es
sedici.identifier.isbn 978-950-9474-49-9 es
sedici.creator.person Salto, Carolina es
sedici.creator.person Leguizamón, Mario Guillermo es
sedici.creator.person Alba, Enrique es
sedici.description.note Presentado en XI Workshop 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 2010-10
sedici.relation.event XVI 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)