Purposeful cross-validation: a novel cross-validation strategy for improved surrogate optimizability-Reference-Cited by-同舟云学术

Purposeful cross-validation: a novel cross-validation strategy for improved surrogate optimizability

Published:2020-08-31 Issue:9 Volume:53 Page:1558-1573
ISSN:0305-215X
Container-title:Engineering Optimization
language:en
Short-container-title:Engineering Optimization

Author:

Correia Daniel¹,Wilke Daniel N.¹

Affiliation:

1. Centre for Asset and Integrity Management, Department of Mechanical and Aeronautical Engineering, University of Pretoria, Pretoria, South Africa

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.2020.1807017

Reference32 articles.

1. Advances in surrogate based modeling, feasibility analysis, and optimization: A review

2. Resampling Methods for Meta-Model Validation with Recommendations for Evolutionary Computation

3. Submodel Selection and Evaluation in Regression. The X-Random Case

4. An efficient decision-making framework for hybrid metamodelling

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