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A metamodel-assisted evolutionary algorithm for expensive optimization

โœ Scribed by Changtong Luo; Shao-Liang Zhang; Chun Wang; Zonglin Jiang


Book ID
113511686
Publisher
Elsevier Science
Year
2011
Tongue
English
Weight
223 KB
Volume
236
Category
Article
ISSN
0377-0427

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Aerodynamic shape design and optimization problems based on evolutionary algorithms and surrogate evaluation tools, i.e., the so-called metamodels, have recently found widespread use. Using metamodels, trained either separately from or during the optimization loop, a considerable reduction in the ov