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dc.date.accessioned 2012-07-12T15:37:46Z
dc.date.available 2012-07-12T15:37:46Z
dc.date.issued 2011
dc.identifier.uri http://sedici.unlp.edu.ar/handle/10915/18623
dc.description.abstract In this paper, we present a modified version of an algorithm inspired on the T-Cell model, it is an artificial immune system (AIS), based on the process that suffers the T-Cell. The proposed model (TCSA) is increased with simulated annealing, for solving constrained (numerical) optimization problems. We validate our proposed approach with a set of test functions taken from the specialized literature. We indirectly compare our results with respect to GENOCOP III, a well known software based on genetic algorithm es
dc.format.extent 121-130 es
dc.language en es
dc.subject Algorithms es
dc.subject Simulated annealing es
dc.subject Constrained optimization es
dc.title Hybridizing an immune artificial algorithm with simulated annealing for solving constrained optimization problems es
dc.type Objeto de conferencia es
sedici.creator.person Aragón, Victoria S. es
sedici.creator.person Esquivel, Susana Cecilia es
sedici.creator.person Coello Coello, Carlos es
sedici.description.note Presentado en el XII 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 2011-10
sedici.relation.event XVII 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)