A Novel Gaussian Process Surrogate Model with Expected Prediction Error for Optimization under Constraints

A Novel Gaussian Process Surrogate Model with Expected Prediction Error for Optimization under Constraints

Optimization, particularly constrained optimization problems (COPs), is fundamental in engineering, influencing various sectors with its critical role in enhancing design efficiency, reducing experimental costs, and shortening testing cycles. This study explores the challenges inherent in COPs, with...

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Bibliographic Details
Main Authors: Hongri Cong, Bo Wang, Zhe Wang
Format: Article
Language:English
Published: MDPI AG 2024-04-01
Series:Mathematics
Subjects:
constrained optimization problems
Gaussian process regression
constrained expected improvement
constrained expected prediction error
Three-Bar Truss Design
Online Access:https://www.mdpi.com/2227-7390/12/7/1115

Internet

https://www.mdpi.com/2227-7390/12/7/1115

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