A Constraint Mapping Approach to the Structural Optimization of an Expensive Model using Surrogates

作     者：Leary, Stephen J. Bhaskar, Atul Keane, Andy J. 

作者机构：Univ Southampton Sch Engn Sci Computat Engn & Design Ctr Southampton SO17 1BJ Hants England 

出 版 物：《OPTIMIZATION AND ENGINEERING》 (最优化与工程学)

年 卷 期：2001年第2卷第4期

页      面：385-398页

核心收录：

学科分类：12[管理学] 1201[管理学-管理科学与工程(可授管理学、工学学位)] 08[工学] 0701[理学-数学] 

主　　题：Kriging space mapping model fusion expensive function optimization 

摘      要：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.