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A Constraint Mapping Approach to the Structural Optimization of an Expensive Model using Surrogates
Abstract The use of response surface methods are well established in the global optimization of expensive functions, the response surface acting as a surrogate to the expensive function objective. In structural design however, the change in objective may vary little between the two models: it is more often the constraints that change with models of varying fidelity. Here approaches are described whereby the coarse model constraints are mapped so that the mapped constraints more faithfully approximate the fine model constraints. The shape optimization of a simple structure demonstrates the approach.
A Constraint Mapping Approach to the Structural Optimization of an Expensive Model using Surrogates
Abstract The use of response surface methods are well established in the global optimization of expensive functions, the response surface acting as a surrogate to the expensive function objective. In structural design however, the change in objective may vary little between the two models: it is more often the constraints that change with models of varying fidelity. Here approaches are described whereby the coarse model constraints are mapped so that the mapped constraints more faithfully approximate the fine model constraints. The shape optimization of a simple structure demonstrates the approach.
A Constraint Mapping Approach to the Structural Optimization of an Expensive Model using Surrogates
Leary, Stephen J. (Autor:in) / Bhaskar, Atul (Autor:in) / Keane, Andy J. (Autor:in)
Optimization and Engineering ; 2 ; 385-398
01.12.2001
14 pages
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
A Constraint Mapping Approach to the Structural Optimization of an Expensive Model using Surrogates
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