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dc.date.accessioned 2012-11-13T11:34:42Z
dc.date.available 2012-11-13T11:34:42Z
dc.date.issued 1997
dc.identifier.uri http://sedici.unlp.edu.ar/handle/10915/24063
dc.description.abstract This paper presents an Ant Colony (AC) model for the Multiple Knapsack Problem (MKP). The ant colony metaphor, as well as other evolutionary metaphors, was applied successfully to diverse heavily constrained problems. An AC system is also considered a class of multiagent distributed algorithm for combinatorial optimisation. The principle of an AC system is adapted to the MKP. We present some results regarding its performance against known optimum for different instances of MKP. The obtained results show the potential power of this particular evolutionary approach for optimisation problems. en
dc.language en es
dc.subject Ant Colony (AC) en
dc.subject Intelligent agents es
dc.subject Multiple Knapsack Problem (MKP) en
dc.subject optimisation es
dc.subject algorithms es
dc.title The ant colony metaphor for multiple knapsack problem en
dc.type Objeto de conferencia es
sedici.creator.person Cena, Marcelo Guillermo es
sedici.creator.person Crespo, María Liz es
sedici.creator.person Kavka, Carlos es
sedici.creator.person Leguizamón, Guillermo es
sedici.description.note Eje: Workshop sobre Aspectos Teoricos de la Inteligencia Artificial 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 1997
sedici.relation.event III 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)