Title :
A new hybrid AIS-GA for constrained optimization problems in mechanical engineering
Author :
Bernardino, H.S. ; Barbosa, H. J C ; Lemonge, A. C C ; Fonseca, L.G.
Author_Institution :
Univ. Fed. de Juiz de Fora, Juiz de Fora
Abstract :
A genetic algorithm (GA) is hybridized with an artificial immune system (AIS) as an alternative to tackle constrained optimization problems in engineering. The AIS is inspired in the clonal selection principle and is embedded into a standard GA search engine in order to help move the population into the feasible region. The procedure is applied to mechanical engineering problems available in the literature and compared to other alternative techniques.
Keywords :
artificial immune systems; genetic algorithms; mechanical engineering; search problems; artificial immune system; clonal selection; constrained optimization problems; genetic algorithm; mechanical engineering; search engine; Artificial immune systems; Constraint optimization; Genetic algorithms; Genetic engineering; Genetic mutations; Mechanical engineering; Optimization methods; Performance evaluation; Search engines; Testing;
Conference_Titel :
Evolutionary Computation, 2008. CEC 2008. (IEEE World Congress on Computational Intelligence). IEEE Congress on
Conference_Location :
Hong Kong
Print_ISBN :
978-1-4244-1822-0
Electronic_ISBN :
978-1-4244-1823-7
DOI :
10.1109/CEC.2008.4630985
