| A survey on kriging-based infill algorithms for multiobjective simulation optimization S Rojas-Gonzalez, I Van Nieuwenhuyse Computers & Operations Research 116, 104869, 2020 | 79 | 2020 |
| A survey on multi-objective hyperparameter optimization algorithms for machine learning A Morales-Hernández, I Van Nieuwenhuyse, S Rojas Gonzalez Artificial Intelligence Review 56 (8), 8043-8093, 2023 | 57 | 2023 |
| A multiobjective stochastic simulation optimization algorithm SR Gonzalez, H Jalali, I Van Nieuwenhuyse European Journal of Operational Research 284 (1), 212-226, 2020 | 47 | 2020 |
| A stochastic-kriging-based multiobjective simulation optimization algorithm S Rojas-Gonzalez, H Jalali, I Van Nieuwenhuyse 2018 Winter Simulation Conference (WSC), 2155-2166, 2018 | 10 | 2018 |
| The astropy problem D Muna, M Alexander, A Allen, R Ashley, D Asmus, R Azzollini, ... arXiv preprint arXiv:1610.03159, 2016 | 10 | 2016 |
| Multiobjective ranking and selection with correlation and heteroscedastic noise S Rojas-Gonzalez, J Branke, I Van Nieuwehuyse 2019 Winter Simulation Conference (WSC), 3392-3403, 2019 | 6 | 2019 |
| Bayesian optimization: tutorial I Couckuyt, SR Gonzalez, J Branke Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2022 | 4 | 2022 |
| Bayesian optimization of multiple objectives with different latencies JM Buckingham, SR Gonzalez, J Branke arXiv preprint arXiv:2302.01310, 2023 | 3 | 2023 |
| Multiobjective ranking and selection using stochastic Kriging SR Gonzalez, J Branke, I van Nieuwenhuyse arXiv preprint arXiv:2209.03919, 2022 | 2 | 2022 |
| Finding knees in bayesian multi-objective optimization A Heidari, J Qing, S Rojas Gonzalez, J Branke, T Dhaene, I Couckuyt International Conference on Parallel Problem Solving from Nature, 104-117, 2022 | 2 | 2022 |
| Many-Objective Quality Measures B Afsar, JE Fieldsend, AP Guerreiro, K Miettinen, S Rojas Gonzalez, ... Many-Criteria Optimization and Decision Analysis: State-of-the-Art, Present …, 2023 | 1 | 2023 |
| Multi-objective Optimization of Adhesive Bonding Process in Constrained and Noisy Settings A Morales-Hernández, I Van Nieuwenhuyse, S Rojas Gonzalez, ... International Conference on Optimization and Learning, 213-223, 2023 | 1 | 2023 |
| Constrained multi-objective optimization of process design parameters in settings with scarce data: an application to adhesive bonding A Morales-Hernández, SR Gonzalez, I Van Nieuwenhuyse, I Couckuyt, ... arXiv preprint arXiv:2112.08760, 2021 | 1 | 2021 |
| Data-Efficient Interactive Multi-Objective Optimization Using ParEGO A Heidari, SR Gonzalez, T Dhaene, I Couckuyt arXiv preprint arXiv:2401.06649, 2024 | | 2024 |
| Bayesian multi-objective optimization of process design parameters in constrained settings with noise: an engineering design application A Morales-Hernández, S Rojas Gonzalez, I Van Nieuwenhuyse, ... Engineering with Computers, 1-15, 2024 | | 2024 |
| Bayesian Optimization I Couckuy, S Rojas-Gonzalez, J Branke, B Bischl Proceedings of the Companion Conference on Genetic and Evolutionary …, 2023 | | 2023 |
| TREE-STRUCTURED PARZEN ESTIMATORS WITH UNCERTAINTY FOR HYPERPARAMETER OPTIMIZATION OF MACHINE LEARNING ALGORITHMS A MORALES HERNANDEZ, I VAN NIEUWENHUYSE, ... | | 2022 |
| TYPICAL CHARACTERISTICS: Bayesian Optimization I Couckuyt, S Rojas Gonzalez, J Branke Genetic and Evolutionary Computation Conference (GECCO), Assoc Comp …, 2022 | | 2022 |
| Multi-objective simulation optimization of the adhesive bonding process of materials A Morales-Hernández, I Van Nieuwenhuyse, SR Gonzalez, J Jordens, ... arXiv preprint arXiv:2112.06769, 2021 | | 2021 |
| Bayesian multiobjective ranking and selection S Rojas Gonzalez, J Branke, I Van Nieuwenhuyse International Federation of Operational Research Societies (IFORS 2021), 2021 | | 2021 |
Inneke VAN NIEUWENHUYSEUHasselt, KU LeuvenVerified email at uhasselt.be
