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 the constraints that change with models of varying fidelity. Her 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
Thesis: M. Eng., Massachusetts Institute of Technology, Department of Civil and Environmental Engine...
It is becoming a common practice to use surrogate models instead of finite element (FE) models in mo...
This dissertation deals with problems of shape and topology optimization in which the goal is to fin...
The use of response surface methods are well established in the global optimization of expensive fun...
Surrogate-based-optimization methods provide a means to minimize expensive high-fidelity models at r...
Published online 2 October 2007Let f(x) denote an objective function that maps a vector x of length ...
The construction of models aimed at learning the behaviour of a system whose responses to inputs are...
Solving optimal control problems for real world applications are hard to tackle numerically due to t...
Surrogate-based optimization (SBO) methods have become established as effective tech-niques for engi...
In structural optimization, usually an approximation concept is introduced as interface between (FEM...
Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Aeronautics and Astronautics, 2007....
In engineering design, it is common to predict performance based on complex computer codes with long...
In this paper we discuss two statistical techniques for achieving computational economy during the o...
In surrogate-based optimization, the designer's full precision computer (or even physical) models ar...
Approximation methods have found an increasing use in the optimization of complex engineering system...
Thesis: M. Eng., Massachusetts Institute of Technology, Department of Civil and Environmental Engine...
It is becoming a common practice to use surrogate models instead of finite element (FE) models in mo...
This dissertation deals with problems of shape and topology optimization in which the goal is to fin...
The use of response surface methods are well established in the global optimization of expensive fun...
Surrogate-based-optimization methods provide a means to minimize expensive high-fidelity models at r...
Published online 2 October 2007Let f(x) denote an objective function that maps a vector x of length ...
The construction of models aimed at learning the behaviour of a system whose responses to inputs are...
Solving optimal control problems for real world applications are hard to tackle numerically due to t...
Surrogate-based optimization (SBO) methods have become established as effective tech-niques for engi...
In structural optimization, usually an approximation concept is introduced as interface between (FEM...
Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Aeronautics and Astronautics, 2007....
In engineering design, it is common to predict performance based on complex computer codes with long...
In this paper we discuss two statistical techniques for achieving computational economy during the o...
In surrogate-based optimization, the designer's full precision computer (or even physical) models ar...
Approximation methods have found an increasing use in the optimization of complex engineering system...
Thesis: M. Eng., Massachusetts Institute of Technology, Department of Civil and Environmental Engine...
It is becoming a common practice to use surrogate models instead of finite element (FE) models in mo...
This dissertation deals with problems of shape and topology optimization in which the goal is to fin...