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Sander van Rijn
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IOHprofiler: A benchmarking and profiling tool for iterative optimization heuristics
C Doerr, H Wang, F Ye, S van Rijn, T Bäck
arXiv preprint arXiv:1810.05281, 2018
782018
Evolving the structure of Evolution Strategies
S van Rijn, H Wang, M van Leeuwen, T Bäck
Computational Intelligence (SSCI), 2016 IEEE Symposium Series on, 1-8, 2016
632016
Online selection of CMA-ES variants
D Vermetten, S van Rijn, T Bäck, C Doerr
Proceedings of the Genetic and Evolutionary Computation Conference, 951-959, 2019
272019
Algorithm configuration data mining for CMA evolution strategies
S van Rijn, H Wang, B van Stein, T Bäck
Proceedings of the Genetic and Evolutionary Computation Conference, 737-744, 2017
252017
Towards a theory-guided benchmarking suite for discrete black-box optimization heuristics: profiling (1+ λ) EA variants on onemax and leadingones
C Doerr, F Ye, S van Rijn, H Wang, T Bäck
Proceedings of the Genetic and Evolutionary Computation Conference, 951-958, 2018
232018
Optimizing highly constrained truck loadings using a self-adaptive genetic algorithm
S van Rijn, M Emmerich, E Reehuis, T Bäck
2015 IEEE Congress on Evolutionary Computation (CEC), 227-234, 2015
192015
Towards an Adaptive CMA-ES Configurator
S van Rijn, C Doerr, T Bäck
International Conference on Parallel Problem Solving from Nature, 54-65, 2018
172018
MF2: A Collection of Multi-Fidelity Benchmark Functions in Python
S van Rijn, S Schmitt
Journal of Open Source Software 5 (52), 2049, 2020
92020
IOHprofiler: A Benchmarking and Profiling Tool for Iterative Optimization Heuristics. CoRR abs/1810.05281 (2018)
C Doerr, H Wang, F Ye, S van Rijn, T Bäck
arXiv preprint arXiv:1810.05281, 2018
92018
Multi-fidelity surrogate model approach to optimization
S van Rijn, S Schmitt, M Olhofer, M van Leeuwen, T Bäck
Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2018
72018
IOHprofiler: a benchmarking and profiling tool for iterative optimization heuristics. arXiv e-prints: 1810.05281 (2018)
C Doerr, H Wang, F Ye, S van Rijn, T Bäck
arXiv preprint arXiv:1810.05281, 2018
72018
IOHprofiler: a benchmarking and profiling tool for iterative optimization heuristics. arXiv e-prints: 1810.05281, October 2018
C Doerr, H Wang, F Ye, S van Rijn, T Bäck
URL https://iohprofiler. github. io, 1810
71810
IOHprofiler: A Benchmarking and Profiling Tool for Iterative Optimization Heuristics. arXiv e-prints, art
C Doerr, H Wang, F Ye, S van Rijn, T Bäck
arXiv preprint arXiv:1810.05281, 2018
52018
Modular CMA-ES framework from [26], v0. 3.0
S van Rijn
42018
Finding efficient trade-offs in multi-fidelity response surface modelling
S van Rijn, S Schmitt, M van Leeuwen, T Bäck
Engineering Optimization 55 (6), 946-963, 2023
22023
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Articles 1–15