Comparing SVM, Gaussian Process and Random Forest Surrogate Models for the CMA-ES
Year: 2015
Type: conference-paper
Source: ASEP
Authors: Zbyněk Pitra, Lukáš Bajer, Martin Holeňa
Institution: Czech Academy of Sciences
Language: English
Subfield: Computational Theory and Mathematics
Field: Computer Science
Domain: Physical Sciences
Open Access status: closed
OpenAlex ID: W2293820571