Title :
A hybrid genetic algorithm for constrained optimization problems in mechanical engineering
Author :
Bernardino, H.S. ; Barbosa, H. J C ; Lemonge, A. C C
Author_Institution :
UFJF, 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; artificial immune system; clonal selection principle; constrained optimization problems; hybrid genetic algorithm; Artificial immune systems; Computational modeling; Constraint optimization; Design optimization; Evolutionary computation; Genetic algorithms; Genetic engineering; Mechanical engineering; Performance evaluation; Search engines;
Conference_Titel :
Evolutionary Computation, 2007. CEC 2007. IEEE Congress on
Conference_Location :
Singapore
Print_ISBN :
978-1-4244-1339-3
Electronic_ISBN :
978-1-4244-1340-9
DOI :
10.1109/CEC.2007.4424532
