Hybridizing an immune artificial algorithm with simulated annealing for solving constrained optimization problems

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...

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Autores principales: Aragón, Victoria S., Esquivel, Susana Cecilia, Coello Coello, Carlos
Formato: Objeto de conferencia
Lenguaje:Inglés
Publicado: 2011
Materias:
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/18623
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id I19-R120-10915-18623
record_format dspace
institution Universidad Nacional de La Plata
institution_str I-19
repository_str R-120
collection SEDICI (UNLP)
language Inglés
topic Ciencias Informáticas
Algorithms
Simulated annealing
Constrained optimization
spellingShingle Ciencias Informáticas
Algorithms
Simulated annealing
Constrained optimization
Aragón, Victoria S.
Esquivel, Susana Cecilia
Coello Coello, Carlos
Hybridizing an immune artificial algorithm with simulated annealing for solving constrained optimization problems
topic_facet Ciencias Informáticas
Algorithms
Simulated annealing
Constrained optimization
description 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
format Objeto de conferencia
Objeto de conferencia
author Aragón, Victoria S.
Esquivel, Susana Cecilia
Coello Coello, Carlos
author_facet Aragón, Victoria S.
Esquivel, Susana Cecilia
Coello Coello, Carlos
author_sort Aragón, Victoria S.
title Hybridizing an immune artificial algorithm with simulated annealing for solving constrained optimization problems
title_short Hybridizing an immune artificial algorithm with simulated annealing for solving constrained optimization problems
title_full Hybridizing an immune artificial algorithm with simulated annealing for solving constrained optimization problems
title_fullStr Hybridizing an immune artificial algorithm with simulated annealing for solving constrained optimization problems
title_full_unstemmed Hybridizing an immune artificial algorithm with simulated annealing for solving constrained optimization problems
title_sort hybridizing an immune artificial algorithm with simulated annealing for solving constrained optimization problems
publishDate 2011
url http://sedici.unlp.edu.ar/handle/10915/18623
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