Articles with public access mandates - Steven AdriaensenLearn more
Available somewhere: 12
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
Mandates: Australian Research Council, UK Engineering and Physical Sciences Research …
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
Mandates: German Research Foundation
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
Mandates: Research Foundation (Flanders)
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
Mandates: Research Foundation (Flanders)
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
Mandates: German Research Foundation, European Commission
Designing reusable metaheuristic methods: A semi-automated approach
S Adriaensen, T Brys, A Nowé
2014 IEEE Congress on Evolutionary Computation (CEC), 2969-2976, 2014
Mandates: Research Foundation (Flanders)
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
Mandates: Research Foundation (Flanders)
Towards a White Box Approach to Automated Algorithm Design.
S Adriaensen, A Nowé
IJCAI, 554-560, 2016
Mandates: Research Foundation (Flanders)
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
Mandates: UK Engineering and Physical Sciences Research Council
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
Mandates: Research Foundation (Flanders)
NOSBench-101: Towards Reproducible Neural Optimizer Search
G Karakasli, S Adriaensen, F Hutter
AutoML Conference 2024 (Workshop Track), 2024
Mandates: European Commission
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), 2024
Mandates: European Commission
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