DocumentCode
2912678
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
fYear
2008
fDate
1-6 June 2008
Firstpage
1455
Lastpage
1462
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;
fLanguage
English
Publisher
ieee
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
Type
conf
DOI
10.1109/CEC.2008.4630985
Filename
4630985
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