Automated multi-objective reaction optimisation: which algorithm should I use?

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Authors
  Müller, P
  Clayton, AD
  Manson, J
Riley, S
  May, OS
Govan, N
Notman, S
Publication Date
2022
Journal Title
Reaction Chemistry and Engineering
ISSN
2058-9883
Publisher
Royal Society of Chemistry (RSC)
Type
Article
This Version
AM
Metadata
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Citation
Müller, P., Clayton, A., Manson, J., Riley, S., May, O., Govan, N., Notman, S., et al. (2022). Automated multi-objective reaction optimisation: which algorithm should I use?. Reaction Chemistry and Engineering https://doi.org/10.1039/d1re00549a
Abstract
<jats:p>An open-source reaction simulator was designed to benchmark the performance of multi-objective optimisation algorithms using chemistry-inspired test problems, which was validated using an experimental self-optimisation platform.</jats:p>
Sponsorship
PM thanks Defence Science and Technology Laboratory and University of Leeds for funding. ADC thanks UCB, AstraZeneca and University of Leeds for funding. SVL thanks the ACS Authur Cope Award for funding.
Embargo Lift Date
2023-12-25
Identifiers
External DOI: https://doi.org/10.1039/d1re00549a
This record's URL: https://www.repository.cam.ac.uk/handle/1810/334606
Rights
All Rights Reserved
Licence URL: http://www.rioxx.net/licenses/all-rights-reserved
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