Behavioral Study of Bayesian Neural Networks Under a Typical Surrogate Model-Assisted Evolutionary Search Framework

The machine learning method for surrogate modeling is a keystone in surrogate model-assisted evolutionary algorithms (SAEAs). The current arguably most widely used surrogate modeling methods in SAEAs are Gaussian process and radial basis function. This paper investigates the behavior of a machine le...

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書誌詳細

出版年:	IEEE Access
主要な著者:	Yushi Liu, Muhammad Ali Imran, Masood Ur-Rehman, Bo Liu
フォーマット:	論文
言語:	英語
出版事項:	IEEE 2025-01-01
主題:	Bayesian neural network computationally expensive optimization surrogate-model-assisted evolutionary algorithm surrogate modeling
オンライン･アクセス:	https://ieeexplore.ieee.org/document/11044325/