Multiple Surrogate-Model-Based Optimization Method Using the Multimodal Expected Improvement Criterion for Expensive Problems

Multiple Surrogate-Model-Based Optimization Method Using the Multimodal Expected Improvement Criterion for Expensive Problems

In this article, a multiple surrogate-model-based optimization method using the multimodal expected improvement criterion (MSMEIC) is proposed. In MSMEIC, an important region is first identified and used alternately with the whole space. Then, in each iteration, three common surrogate models, krigin...

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Bibliographic Details
Main Authors: Mingyang Li, Jinjun Tang, Xianwei Meng
Format: Article
Language:English
Published: MDPI AG 2022-11-01
Series:Mathematics
Subjects:
multiple surrogate models
expensive problems
expected improvement
reduced subspace
global optimization
Online Access:https://www.mdpi.com/2227-7390/10/23/4467

Internet

https://www.mdpi.com/2227-7390/10/23/4467

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