@inproceedings{828dc32e68c843c38243fa8c70d14cb6,
title = "The RBF Hyperparameter in Metamodel-Assisted Evolutionary Search",
abstract = "RBF metamodels, which are commonly used in expensive optimization problems, rely on a hyperparameter which affects their prediction. The optimal hyperparameter value is typically unknown and hence needs to be estimated by additional procedures. As such this study examines if this overhead is justified from an overall search effectiveness perspective, namely, if changes in the hyperparameter yield significant performance differences. Analysis based on extensive numerical experiments shows that changes are significant in functions with low to moderate multimodality but are less significant in functions with highly multimodality.",
keywords = "Evolutionary algorithms, Expensive functions, Metamodels, RBF",
author = "Yoel Tenne",
note = "Publisher Copyright: {\textcopyright} 2022 The authors and IOS Press.; 11th International Conference on Electronics, Communications and Networks, CECNet 2021 ; Conference date: 18-11-2021 Through 21-11-2021",
year = "2021",
month = dec,
day = "22",
doi = "10.3233/FAIA210393",
language = "אנגלית",
series = "Frontiers in Artificial Intelligence and Applications",
publisher = "IOS Press BV",
pages = "84--89",
editor = "Tallon-Ballesteros, {Antonio J.}",
booktitle = "Proceedings of the 11th International Conference on Electronics, Communications and Networks, CECNet 2021",
address = "הולנד",
}