Bi-objective Bayesian optimization of engineering problems with cheap and expensive cost functions-Reference-Cited by-同舟云学术

Bi-objective Bayesian optimization of engineering problems with cheap and expensive cost functions

Published:2022-01-25 Issue: Volume: Page:
ISSN:0177-0667
Container-title:Engineering with Computers
language:en
Short-container-title:Engineering with Computers

Author:

Loka Nasrulloh^ORCID,Couckuyt Ivo,Garbuglia Federico,Spina Domenico,Van Nieuwenhuyse Inneke,Dhaene Tom

Publisher

Springer Science and Business Media LLC

Subject

Computer Science Applications,General Engineering,Modeling and Simulation,Software

Link

https://link.springer.com/content/pdf/10.1007/s00366-021-01573-7.pdf

Reference43 articles.

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3. Davins-Valldaura J, Moussaoui S, Pita-Gil G, Plestan F (2017) ParEGO extensions for multi-objective optimization of expensive evaluation functions. J Global Optim 67(1–2):79–96. https://doi.org/10.1007/s10898-016-0419-3 (ISSN 15732916.)

4. Astudillo R, Frazier P (2017) Multi-attribute Bayesian optimization under utility uncertainty. In: 31st Conference on Neural Information Processing Systems (NIPS 2017), p 5

5. Coello CCA, Brambila SG, Gamboa JF, Tapia MGC, Gómez RH (2020) Evolutionary multiobjective optimization: open research areas and some challenges lying ahead. Complex Intell Syst 6(2):221–236. https://doi.org/10.1007/s40747-019-0113-4 (ISSN 2199-4536)

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