期刊
ENGINEERING OPTIMIZATION
卷 46, 期 10, 页码 1331-1351出版社
TAYLOR & FRANCIS LTD
DOI: 10.1080/0305215X.2013.836640
关键词
cuckoo search; genetic algorithm; hybrid algorithm; engineering design optimization
This article presents an effective hybrid cuckoo search and genetic algorithm (HCSGA) for solving engineering design optimization problems involving problem-specific constraints and mixed variables such as integer, discrete and continuous variables. The proposed algorithm, HCSGA, is first applied to 13 standard benchmark constrained optimization functions and subsequently used to solve three well-known design problems reported in the literature. The numerical results obtained by HCSGA show competitive performance with respect to recent algorithms for constrained design optimization problems.
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