Exploratory Landscape Validation for Bayesian Optimization Algorithms

Exploratory Landscape Validation for Bayesian Optimization Algorithms

Bayesian optimization algorithms are widely used for solving problems with a high computational complexity in terms of objective function evaluation. The efficiency of Bayesian optimization is strongly dependent on the quality of the surrogate models of an objective function, which are built and ref...

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Bibliographic Details
Main Authors: Taleh Agasiev, Anatoly Karpenko
Format: Article
Language:English
Published: MDPI AG 2024-01-01
Series:Mathematics
Subjects:
Bayesian optimization
Gaussian process
surrogate modeling
hyperparameter tuning
exploratory landscape analysis
exploratory landscape validation
Online Access:https://www.mdpi.com/2227-7390/12/3/426

Internet

https://www.mdpi.com/2227-7390/12/3/426

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