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

Aragón, Victoria S. et al · SEDICI UNLP · 2011

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Author / responsible party
Aragón, Victoria S. et al
Publisher
SEDICI UNLP
Year
2011
Language
English

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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 Presentado en el XII Workshop Agentes y Sistemas Inteligentes (WASI) Red de Universidades con Carreras en Informática (RedUNCI)

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APA 7

Aragón, V. S. E. A. (2011). Hybridizing an immune artificial algorithm with simulated annealing for solving constrained optimization problems. SEDICI UNLP. http://sedici.unlp.edu.ar/handle/10915/18623

MLA

Aragón, Victoria S. et al. Hybridizing an immune artificial algorithm with simulated annealing for solving constrained optimization problems. SEDICI UNLP, 2011. http://sedici.unlp.edu.ar/handle/10915/18623.

Chicago

Aragón, Victoria S. et al. 2011. Hybridizing an immune artificial algorithm with simulated annealing for solving constrained optimization problems. SEDICI UNLP. http://sedici.unlp.edu.ar/handle/10915/18623.

Harvard

Aragón, V. S. E. A. 2011, Hybridizing an immune artificial algorithm with simulated annealing for solving constrained optimization problems, SEDICI UNLP, available at: http://sedici.unlp.edu.ar/handle/10915/18623 [Accessed 8 Aug. 2026].

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Title
Hybridizing an immune artificial algorithm with simulated annealing for solving constrained optimization problems
Author / contributors
Aragón, Victoria S. et al
Publisher
SEDICI UNLP
Publication year
2011
Language
English

Subjects

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Ciencias Informáticas; Algorithms; Simulated annealing; Constrained optimization
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