Recent advances in surrogate-based optimization

被引：1556

作者：

Forrester, Alexander I. J. ^{[1
]}

Keane, Andy J. ^{[1
]}

机构：

[1] Univ Southampton, Computat Engn & Design Grp, Sch Engn Sci, Southampton SO17 1BJ, Hants, England

来源：

PROGRESS IN AEROSPACE SCIENCES | 2009年 / 45卷 / 1-3期

关键词：

RESPONSE-SURFACE; GLOBAL OPTIMIZATION; DESIGN; APPROXIMATION; REGULARIZATION; IMPROVEMENT; ALGORITHMS; VARIABLES; MODELS; OUTPUT;

D O I：

10.1016/j.paerosci.2008.11.001

中图分类号：

V [航空、航天];

学科分类号：

08 ; 0825 ;

摘要：

The evaluation of aerospace designs is synonymous with the use of long running and computationally intensive simulations. This fuels the desire to harness the efficiency of surrogate-based methods in aerospace design optimization. Recent advances in surrogate-based design methodology bring the promise of efficient global optimization closer to reality. We review the present state of the art of constructing surrogate models and their use in optimization strategies. We make extensive use of pictorial examples and, since no method is truly universal, give guidance as to each method's strengths and weaknesses. (C) 2008 Elsevier Ltd. All rights reserved.

引用

页码：50 / 79

页数：30

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