Ikuti
Sander van Rijn
Sander van Rijn
Netherlands eScience Center
Email yang diverifikasi di esciencecenter.nl - Beranda
Judul
Dikutip oleh
Dikutip oleh
Tahun
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
1022018
Evolving the structure of evolution strategies
S van Rijn, H Wang, M van Leeuwen, T Bäck
2016 IEEE Symposium Series on Computational Intelligence (SSCI), 1-8, 2016
622016
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
302019
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
292017
Towards an adaptive CMA-ES configurator
S Van Rijn, C Doerr, T Bäck
International Conference on Parallel Problem Solving from Nature, 54-65, 2018
202018
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
202018
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
202015
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
102018
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. arXiv e-prints: 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 (2018)
C Doerr, H Wang, F Ye, S van Rijn, T Bäck
Arxiv, 1810
51810
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
Opleiding Informatica
S van Rijn
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