On the Impact of Covariance Functions in Multi-Objective Bayesian Optimization for Engineering Design
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989592%3A15310%2F20%3A73598638" target="_blank" >RIV/61989592:15310/20:73598638 - isvavai.cz</a>
Result on the web
<a href="https://obd.upol.cz/id_publ/333178524" target="_blank" >https://obd.upol.cz/id_publ/333178524</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.2514/6.2020-1867" target="_blank" >10.2514/6.2020-1867</a>
Alternative languages
Result language
angličtina
Original language name
On the Impact of Covariance Functions in Multi-Objective Bayesian Optimization for Engineering Design
Original language description
Multi-objective Bayesian optimization (BO) is a highly useful class of methods that can effectively solve computationally expensive engineering design optimization problems with multiple objectives. However, the impact of covariance function, which is an important part of multi-objective BO, is rarely studied in the context of engineering optimization. We aim to shed light on this issue by performing numerical experiments on engineering design optimization problems, primarily low-fidelity problems so that we are able to statistically evaluate the performance of BO methods with various covariance functions. In this paper, we performed the study using a set of subsonic airfoil optimization cases as benchmark problems. Expected hypervolume improvement was used as the acquisition function to enrich the experimental design. Results show that the choice of the covariance function give a notable impact on the performance of multi-objective BO. In this regard, Kriging models with Matern-3/2 is the most robust method in terms of the diversity and convergence to the Pareto front that can handle problems with various complexities.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10102 - Applied mathematics
Result continuities
Project
<a href="/en/project/EF17_049%2F0008408" target="_blank" >EF17_049/0008408: Hydrodynamic design of pumps</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2020
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
AIAA Scitech 2020 Forum
ISBN
978-1-62410-595-1
ISSN
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e-ISSN
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Number of pages
13
Pages from-to
1-13
Publisher name
American Institute of Aeronautics and Astronautics, Inc.
Place of publication
Orlando, FL
Event location
Orlando, FL, USA
Event date
Jan 6, 2020
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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