Metaheuristics “in the large” J Swan, S Adriaensen, AEI Brownlee, K Hammond, CG Johnson, A Kheiri, ... European Journal of Operational Research 297 (2), 393-406, 2022 | 85 | 2022 |
A research agenda for metaheuristic standardization J Swan, S Adriaensen, M Bishr, EK Burke, JA Clark, P De Causmaecker, ... Proceedings of the XI metaheuristics international conference, 1-3, 2015 | 55 | 2015 |
Learning step-size adaptation in CMA-ES G Shala, A Biedenkapp, N Awad, S Adriaensen, M Lindauer, F Hutter Parallel Problem Solving from Nature–PPSN XVI: 16th International Conference …, 2020 | 36 | 2020 |
Fair-share ILS: a simple state-of-the-art iterated local search hyperheuristic S Adriaensen, T Brys, A Nowé Proceedings of the 2014 annual conference on genetic and evolutionary …, 2014 | 34 | 2014 |
Automated dynamic algorithm configuration S Adriaensen, A Biedenkapp, G Shala, N Awad, T Eimer, M Lindauer, ... Journal of Artificial Intelligence Research 75, 1633-1699, 2022 | 31 | 2022 |
A benchmark set extension and comparative study for the hyflex framework S Adriaensen, G Ochoa, A Nowé 2015 IEEE Congress on Evolutionary Computation (CEC), 784-791, 2015 | 30 | 2015 |
DACBench: A benchmark library for dynamic algorithm configuration T Eimer, A Biedenkapp, M Reimer, S Adriaensen, F Hutter, M Lindauer Proceedings of the Thirtieth International Joint Conference on Artificial …, 2021 | 20 | 2021 |
Designing reusable metaheuristic methods: A semi-automated approach S Adriaensen, T Brys, A Nowé 2014 IEEE Congress on Evolutionary Computation (CEC), 2969-2976, 2014 | 18 | 2014 |
Towards a White Box Approach to Automated Algorithm Design. S Adriaensen, A Nowé IJCAI, 554-560, 2016 | 16 | 2016 |
Case study: An analysis of accidental complexity in a state-of-the-art hyper-heuristic for HyFlex S Adriaensen, A Nowé 2016 IEEE Congress on Evolutionary Computation (CEC), 1485-1492, 2016 | 15 | 2016 |
Efficient Bayesian Learning Curve Extrapolation using Prior-Data Fitted Networks S Adriaensen, H Rakotoarison, S Müller, F Hutter Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS …, 2023 | 13 | 2023 |
Extending the “open-closed principle” to automated algorithm configuration J Swan, S Adriænsen, AD Barwell, K Hammond, DR White Evolutionary computation 27 (1), 173-193, 2019 | 5 | 2019 |
In-Context Freeze-Thaw Bayesian Optimization for Hyperparameter Optimization H Rakotoarison, S Adriaensen, N Mallik, S Garibov, E Bergman, F Hutter arXiv preprint arXiv:2404.16795, 2024 | 2 | 2024 |
An importance sampling approach to the estimation of algorithm performance in automated algorithm design S Adriaensen, F Moons, A Nowé Learning and Intelligent Optimization: 11th International Conference, LION …, 2017 | 2 | 2017 |
On the Semi-automated Design of Reusable Heuristics S Adriaensen Vrije Universiteit Brussel, 2018 | 1 | 2018 |
On Task Scheduling Policies for Work-Stealing Schedulers S Adriaensen, Y Fathy, A Nowé Proceedings of the Multidisciplinary International Conference on Scheduling …, 2015 | | 2015 |
NOSBench-101: Towards Reproducible Neural Optimizer Search G Karakasli, S Adriaensen, F Hutter AutoML Conference 2024 (Workshop Track), 0 | | |
From Epoch to Sample Size: Developing New Data-driven Priors for Learning Curve Prior-Fitted Networks TJ Viering, S Adriaensen, H Rakotoarison, F Hutter AutoML Conference 2024 (Workshop Track), 0 | | |