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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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Guijt, A. (author), Luong, N.H. (author), Bosman, P.A.N. (author), de Weerdt, M.M. (author)Gene-pool Optimal Mixing Evolutionary Algorithms (GOMEAs) have been shown to achieve state-of-the-art results on various types of optimization problems with various types of problem variables. Recently, a GOMEA for permutation spaces was introduced by leveraging the random keys encoding, obtaining promising first results on permutation flow...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
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He, L. (author), Guijt, Arthur (author), de Weerdt, M.M. (author), Xing, Lining (author), Yorke-Smith, N. (author)The Order Acceptance and Scheduling (OAS) problem describes a class of real-world problems such as in smart manufacturing and satellite scheduling. This problem consists of simultaneously selecting a subset of orders to be processed as well as determining the associated schedule. A common generalization includes sequence-dependent setup times...journal article 2019