An efficient decision-making framework for hybrid metamodelling-Reference-Cited by-同舟云学术

An efficient decision-making framework for hybrid metamodelling

Published:2018-12-03 Issue:10 Volume:51 Page:1761-1776
ISSN:0305-215X
Container-title:Engineering Optimization
language:en
Short-container-title:Engineering Optimization

Author:

Chen Chong¹,Zhan Zhenfei¹,Yu Huili²,Zhao Hui²

Affiliation:

1. State Key Laboratory of Mechanical Transmission, Chongqing University, Chongqing, PR China

2. State Key Laboratory of Vehicle NVH and Safety Technology, Chongqing, PR China

Funder

Fundamental Research Funds for the Central Universities

Chongqing Innovation Program of Common Key Technology in Key Industries

Research Project of State Key Laboratory of Vehicle NVH and Safety Technology

Publisher

Informa UK Limited

Subject

Applied Mathematics,Industrial and Manufacturing Engineering,Management Science and Operations Research,Control and Optimization,Computer Science Applications

Link

https://www.tandfonline.com/doi/pdf/10.1080/0305215X.2018.1547717

Reference30 articles.

1. Various approaches for constructing an ensemble of metamodels using local measures

2. A comparative study of the scalability of alternative metamodelling techniques

3. Model Selection: An Integral Part of Inference

4. Ensemble of surrogates with hybrid method using global and local measures for engineering design

5. Model complexity control for regression using VC generalization bounds

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