Evolutionary Optimization of Computationally Expensive Problems via Surrogate Modeling-Reference-Cited by-同舟云学术

Evolutionary Optimization of Computationally Expensive Problems via Surrogate Modeling

Published:2003-04 Issue:4 Volume:41 Page:687-696
ISSN:0001-1452
Container-title:AIAA Journal
language:en
Short-container-title:AIAA Journal

Author:

Ong Yew S.¹,Nair Prasanth B.¹,Keane Andrew J.¹

Affiliation:

1. University of Southampton, Southampton, England SO17 1BJ, United Kingdom

Publisher

American Institute of Aeronautics and Astronautics (AIAA)

Subject

Aerospace Engineering

Link

http://arc.aiaa.org/doi/pdf/10.2514/2.1999

Reference33 articles.

1. A trust-region framework for managing the use of approximation models in optimization

2. A rigorous framework for optimization of expensive functions by surrogates

3. Serafini, D. B. “A Framework for Managing Models in Nonlinear Optimization of Computationally Expensive Functions,” Ph.D. Dissertation, Computational and Applied Mathematics Dept.Rice Univ., Houston, TX,Nov. 1998.

4. A case for multi-level optimisation in aeronautical design

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