DocumentCode
2689065
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
fYear
2007
fDate
25-28 Sept. 2007
Firstpage
646
Lastpage
653
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;
fLanguage
English
Publisher
ieee
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
Type
conf
DOI
10.1109/CEC.2007.4424532
Filename
4424532
Link To Document