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dc.date.accessioned 2012-11-05T12:19:06Z
dc.date.available 2012-11-05T12:19:06Z
dc.date.issued 2012-10
dc.identifier.uri http://sedici.unlp.edu.ar/handle/10915/23590
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 algorithm is called TCEC (T-Cell Epsilon Constrained) due to it is increased with epsilon constrained method, for solving constrained (numerical) opti- mization problems. We validate our proposed approach with a set of 36 test functions provided for the CEC 2010 competition. We indirectly compare our results with respect to a version of the differential evolution algorithm. Our results show that TCEC can found feasible solutions on almost test functions with 10 and 30 decision variables. en
dc.language en es
dc.subject Algorithms es
dc.subject Artificial Immune System en
dc.subject Constrained Optimization Problem en
dc.subject Hybrid systems es
dc.subject Optimization es
dc.subject Epsilon Constrained Method en
dc.subject Intelligent agents es
dc.title Hybridizing an immune artificial algorithm with epsilon constrained method en
dc.type Objeto de conferencia es
sedici.creator.person Aragón, Victoria S. es
sedici.creator.person Esquivel, Susana Cecilia es
sedici.description.note Eje: 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 2012-10
sedici.relation.event XVIII 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)