Reference : Bayesian Multi-Objective Optimisation of Neotissue Growth in a Perfusion Bioreactor Set-up
Scientific congresses and symposiums : Paper published in a book
Engineering, computing & technology : Multidisciplinary, general & others
http://hdl.handle.net/2268/210129
Bayesian Multi-Objective Optimisation of Neotissue Growth in a Perfusion Bioreactor Set-up
English
olofsson, Simon [Imperial College London > Dept. of Computing > > >]
Mehrian, Mohammad mailto [Université de Liège > Département d'aérospatiale et mécanique > Génie biomécanique >]
Geris, Liesbet mailto [Université de Liège > Département d'aérospatiale et mécanique > Génie biomécanique >]
Calandra, Roberto [University of California, Berkeley > Dept. of EECS, > > >]
Deisenrotha [Imperial College London > Dept. of Computing > > >]
Ruth, Misener mailto [Imperial College London > Dept. of Computing > > >]
1-Oct-2017
Proceedings of the 27th European Symposium on Computer Aided Process Engineering – ESCAPE 27
Elsevier
Yes
No
International
Proceedings of the 27th European Symposium on Computer Aided Process Engineering (ESCAPE)
01-10-2017
[en] Bayesian optimisation ; multi-objective optimisation ; bone neotissue engineering
[en] We consider optimising bone neotissue growth in a 3D scaffold during dynamic perfusion
bioreactor culture. The goal is to choose design variables by optimising two conflicting
objectives: (i) maximising neotissue growth and (ii) minimising operating cost. Our contribution
is a novel extension of Bayesian multi-objective optimisation to the case of one
black-box (neotissue growth) and one analytical (operating cost) objective function, that
helps determine, within a reasonable amount of time, what design variables best manage
the trade-off between neotissue growth and operating cost. Our method is tested against
and outperforms the most common approach in literature, genetic algorithms, and shows
its important real-world applicability to problems that combine black-box models with
easy-to-quantify objectives like cost.
Researchers ; Professionals ; Students
http://hdl.handle.net/2268/210129
10.1016/B978-0-444-63965-3.50361-5

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