A Kriging-Assisted Multi-Objective Constrained Global Optimization Method for Expensive Black-Box Functions

A Kriging-Assisted Multi-Objective Constrained Global Optimization Method for Expensive Black-Box Functions

The kriging optimization method that can only obtain one sampling point per cycle has encountered a bottleneck in practical engineering applications. How to find a suitable optimization method to generate multiple sampling points at a time while improving the accuracy of convergence and reducing the...

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Bibliographic Details
Main Authors: Yaohui Li, Jingfang Shen, Ziliang Cai, Yizhong Wu, Shuting Wang
Format: Article
Language:English
Published: MDPI AG 2021-01-01
Series:Mathematics
Subjects:
multi-objective constrained optimization
surrogate model
kriging
black-box function
Online Access:https://www.mdpi.com/2227-7390/9/2/149

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https://www.mdpi.com/2227-7390/9/2/149

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