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dc.date.accessioned 2012-09-12T17:10:04Z
dc.date.available 2012-09-12T17:10:04Z
dc.date.issued 2009
dc.identifier.uri http://sedici.unlp.edu.ar/handle/10915/20886
dc.description.abstract Metaheuristics based on swarm intelligence simulate the behavior of a biological social system like as a flock of birds or a swarm of bees, and they have achieved important advances for solving optimization problems. In this paper, we propose a variant for a particular kind of those metaheurisitcs: Particle Swarm Optimization (PSO). This modification arises after discovering a low rate of convergence produced by a high level of dispersal at the swarm. Finally, we analyzed and compared the results obtained by an original PSO algorithm and our proposal. From those, we can see the improvement obtained by our variant since it allows to explore more the search space. en
dc.format.extent 80-89 es
dc.language en es
dc.subject Particle Swarm Optimization (PSO) es
dc.subject Heuristic methods es
dc.subject swarm intelligence es
dc.title A modified binary-PSO for continuous optimization en
dc.type Objeto de conferencia es
sedici.creator.person Orellana, Alina es
sedici.creator.person Minetti, Gabriela F. es
sedici.description.note Presentado en el X Workshop Agentes y Sistemas Inteligentes 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 2009-10
sedici.relation.event XV 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)