Robust parameter design of mixed multiple responses based on a latent variable Gaussian process model-Reference-Cited by-同舟云学术

Robust parameter design of mixed multiple responses based on a latent variable Gaussian process model

Published:2022-10-25 Issue: Volume: Page:1-18
ISSN:0305-215X
Container-title:Engineering Optimization
language:en
Short-container-title:Engineering Optimization

Author:

Zhai Cuihong¹,Wang Jianjun¹^ORCID,Feng Zebiao²,Ma Yan¹,Deng Haisong³

Affiliation:

1. Department of Management Science and Engineering, Nanjing University of Science and Technology, Nanjing, P.R. China

2. School of Management, Nanjing University of Posts and Telecommunications, Nanjing, P.R. China;

3. School of Statistics and Data Science, Nanjing Audit University, Nanjing, P.R. China

Funder

National Natural Science Foundation of China

Postgraduate Research & Practice Innovation Program of Jiangsu Province

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.2022.2124982

Reference42 articles.

1. Gaussian Process Modeling and Optimization of Profile Response Experiments

2. Optimization of dual response systems: A comprehensive procedure for degenerate and nondegenerate problems

3. The Computation of Global Optima in Dual Response Systems

4. Additive Gaussian Process for Computer Models With Qualitative and Quantitative Factors

5. A trust region-based approach to optimize triple response systems

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