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Bliek, Laurens (author), Guijt, A. (author), Karlsson, R.K.A. (author), Verwer, S.E. (author), de Weerdt, M.M. (author)Surrogate algorithms such as Bayesian optimisation are especially designed for black-box optimisation problems with expensive objectives, such as hyperparameter tuning or simulation-based optimisation. In the literature, these algorithms are usually evaluated with synthetic benchmarks which are well established but have no expensive objective...journal article 2023
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Jorayev, Perman (author), Russo, Danilo (author), Tibbetts, Joshua D. (author), Schweidtmann, A.M. (author), Deutsch, Paul (author), Bull, Steven D. (author), Lapkin, Alexei A. (author)Production of functional molecules from renewable bio-feedstocks and bio-waste has the potential to significantly reduce the greenhouse gas emissions. However, the development of such processes commonly requires invention and scale-up of highly selective and robust chemistry for complex reaction networks in bio-waste mixtures. We demonstrate...journal article 2022
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Bliek, L. (author), Guijt, A. (author), Verwer, S.E. (author), de Weerdt, M.M. (author)A challenging problem in both engineering and computer science is that of minimising a function for which we have no mathematical formulation available, that is expensive to evaluate, and that contains continuous and integer variables, for example in automatic algorithm configuration. Surrogate-based algorithms are very suitable for this type...conference paper 2021