info:eu-repo/semantics/article
Artificial immune system for solving constrained optimization problems
Date
2007-10Registration in:
Aragon, Victoria Soledad; Esquivel, Susana Cecilia; Coello Coello, Carlos; Artificial immune system for solving constrained optimization problems; Sociedad Iberoamericana de Inteligencia Artificial; Inteligencia Artificial; 11; 35; 10-2007; 55-66
1137-3601
1988-3064
CONICET Digital
CONICET
Author
Aragon, Victoria Soledad
Esquivel, Susana Cecilia
Coello Coello, Carlos
Abstract
In this paper, we present an artificial immune system (AIS) based on the CLONALG algorithm for solving constrained (numerical) optimization problems. We develop a new mutation operator which produces large and small step sizes and which aims to provide better exploration capabilities. We validate our proposed approach with 13 test functions taken from the specialized literature and we compare our results with respect to Stochastic Ranking (which is an approach representative of the state-of-the-art in the area) and with respect to an AIS previously proposed by one of the co-authors.