The paper discusses strategies for metamodels in optimization problems involving expensive high-fidelity analysis tools. A strategy to assess the accuracy of the metamodels and to increase their completeness and fidelity during the optimization process is suggested and evaluated.
Self-Learning Metamodels for Optimization
Ship Technology Research ; 56 , 3 ; 95-109
2009-07-01
15 pages
Article (Journal)
Electronic Resource
English
Self-Learning Metamodels for Optimization
Online Contents | 2009
Self-Learning Metamodels for Optimization
Online Contents | 2009
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