Imperial College London
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ProfessorRuthMisener

Faculty of Engineering, Department of Computing

Professor in Computational Optimisation
 
 
 
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Contact

 

+44 (0)20 7594 8315r.misener Website CV

 
 
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Location

 

379Huxley BuildingSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@unpublished{Folch:2022:10.48550/arXiv.2211.06149,
author = {Folch, JP and Lee, RM and Shafei, B and Walz, D and Tsay, C and Wilk, MVD and Misener, R},
doi = {10.48550/arXiv.2211.06149},
publisher = {arXiv},
title = {Combining multi-fidelity modelling and asynchronous batch bayesian optimization},
url = {http://dx.doi.org/10.48550/arXiv.2211.06149},
year = {2022}
}
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RIS format (EndNote, RefMan)

TY  - UNPB
AB  - Bayesian Optimization is a useful tool for experiment design. Unfortunately,the classical, sequential setting of Bayesian Optimization does not translatewell into laboratory experiments, for instance battery design, wheremeasurements may come from different sources and their evaluations may requiresignificant waiting times. Multi-fidelity Bayesian Optimization addresses thesetting with measurements from different sources. Asynchronous batch BayesianOptimization provides a framework to select new experiments before the resultsof the prior experiments are revealed. This paper proposes an algorithmcombining multi-fidelity and asynchronous batch methods. We empirically studythe algorithm behavior, and show it can outperform single-fidelity batchmethods and multi-fidelity sequential methods. As an application, we considerdesigning electrode materials for optimal performance in pouch cells usingexperiments with coin cells to approximate battery performance.
AU  - Folch,JP
AU  - Lee,RM
AU  - Shafei,B
AU  - Walz,D
AU  - Tsay,C
AU  - Wilk,MVD
AU  - Misener,R
DO  - 10.48550/arXiv.2211.06149
PB  - arXiv
PY  - 2022///
TI  - Combining multi-fidelity modelling and asynchronous batch bayesian optimization
UR  - http://dx.doi.org/10.48550/arXiv.2211.06149
UR  - http://arxiv.org/abs/2211.06149v1
UR  - http://hdl.handle.net/10044/1/100976
ER  -
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