@inproceedings{Olofsson:2017,
author = {Olofsson, S and Mehrian, M and Geris, L and Calandra, R and Deisenroth, MP and Misener, R},
publisher = {Elsevier},
title = {Bayesian multi-objective optimisation of neotissue growth in a perfusion bioreactor set-up},
year = {2017}
}

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TY  - CPAPER
AB  - We consider optimising bone neotissue growth in a 3D scaffold during dynamic perfusionbioreactor culture.  The goal is to choose design variables by optimising two conflictingobjectives: (i) maximising neotissue growth and (ii) minimising operating cost. Our con-tribution is a novel extension of Bayesian multi-objective optimisation to the case of oneblack-box (neotissue growth) and one analytical (operating cost) objective function, thathelps determine, within a reasonable amount of time, what design variables best managethe trade-off between neotissue growth and operating cost.  Our method is tested againstand outperforms the most common approach in literature, genetic algorithms, and showsits important real-world applicability to problems that combine black-box models witheasy-to-quantify objectives like cost.
AU  - Olofsson,S
AU  - Mehrian,M
AU  - Geris,L
AU  - Calandra,R
AU  - Deisenroth,MP
AU  - Misener,R
PB  - Elsevier
PY  - 2017///
TI  - Bayesian multi-objective optimisation of neotissue growth in a perfusion bioreactor set-up
ER  - 

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