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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 |