No Cover Image

Conference Paper/Proceeding/Abstract 560 views

MBORE: multi-objective Bayesian optimisation by density-ratio estimation

George De Ath, Tinkle Chugh, Alma Rahat Orcid Logo

Proceedings of the Genetic and Evolutionary Computation Conference

Swansea University Author: Alma Rahat Orcid Logo

Full text not available from this repository: check for access using links below.

DOI (Published version): 10.1145/3512290.3528769

Published in: Proceedings of the Genetic and Evolutionary Computation Conference
ISBN: 978-1-4503-9237-2 978-1-4503-9237-2
Published: New York, NY, USA ACM 2022
URI: https://cronfa.swan.ac.uk/Record/cronfa60512
Tags: Add Tag
No Tags, Be the first to tag this record!
Keywords: Bayesian optimisation, Surrogate modelling, Scalarisation methods, Efficient multi-objective optimisation, Acquisition function
College: Faculty of Science and Engineering
Funders: Engineering and Physical Sciences Research Council