Observations in applying Bayesian versus evolutionary approaches and their hybrids in parallel time-constrained optimization-Reference-Cited by-同舟云学术

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Observations in applying Bayesian versus evolutionary approaches and their hybrids in parallel time-constrained optimization

Published:2024-11 Issue: Volume:137 Page:109075
ISSN:0952-1976
Container-title:Engineering Applications of Artificial Intelligence
language:en
Short-container-title:Engineering Applications of Artificial Intelligence

Author:

Gobert Maxime^ORCID,Briffoteaux Guillaume^ORCID,Gmys Jan^ORCID,Melab Nouredine^ORCID,Tuyttens Daniel^ORCID

Publisher

Elsevier BV

Reference74 articles.

1. Performance comparison of recent population-based metaheuristic optimisation algorithms in mechanical design problems of machinery components;Alkan;Machines,2021

2. ϵ-shotgun;Ath,2020

3. BoTorch: A framework for efficient Monte-Carlo Bayesian optimization;Balandat,2020

4. Adding virtualization capabilities to the Grid’5000 testbed;Balouek,2013

5. A portfolio approach to massively parallel Bayesian optimization;Binois,2023

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