Sander van Rijn
Promovendus
- Naam
- S.J. van Rijn MSc
- Telefoon
- 071 5274799
- s.j.van.rijn@liacs.leidenuniv.nl
- ORCID iD
- 0000-0001-6159-041X
Promovendus
- Faculteit der Wiskunde en Natuurwetenschappen
- LIACS
- LIACS Research
- Rijn S.J. van, Schmitt S., Leeuwen M. van & Bäck T.H.W. (2023), Finding efficient trade-offs in multi-fidelity response surface modelling, Engineering Optimization 55(6): 946-963.
- Rijn S.J. van & Schmitt S. (2020), MF2: a collection of multi-fidelity benchmark functions in Python, Journal of Open Source Software 5(52): 2049.
- Vermetten D.L., Rijn S.J. van, Bäck T.H.W. & Doerr C. (2019), Online selection of CMA-ES variants. Lopez-Ibanez M. (red.), Gecco '19: Proceedings of the Genetic and Evolutionary Computation Conference Companion. GECCO 2019 13 juli 2019 - 17 juli 2019. New York, NY, U.S.A.: ACM. 951-959.
- Rijn S.J. van, Schmitt S., Olhofer M., Leeuwen M. van & Bäck T. (2018), Multi-Fidelity Surrogate Model Approach to Optimization. Aguirre H. (red.), GECCO'18 Proceedings of the Genetic and Evolutionary Computation Conference Companion. GECCO 2018 15 juli 2018 - 19 juli 2018. New York: ACM. 225-226.
- Rijn S.J. van, Doerr C. & Bäck T. (2018), Towards an Adaptive CMA-ES Configurator. Auger A., Fonseca C., Lourenco N., Machado P., Paquete L. & Whitley D. (red.), Parallel Problem Solving from Nature - PPSN XV. PPSN 2018. PPSN: International Conference on Parallel Solving from Nature 8 september 2018 - 12 september 2018 nr. Lecture Notes in Computer Science, volume 11101. Cham: Springer. 54-65.
- Doerr C., Ye F., Rijn S.J. van, Wang H. & Bäck T.H.W. (2018), Towards a Theory-Guided Benchmarking Suite for Discrete Black-Box Optimization Heuristics: Profiling (1+λ) EA Variants on OneMax and LeadingOnes. Aguirre H. (red.), Proceedings of the Genetic and Evolutionary Computation Conference (GECCO '18). GECCO 2018 15 juli 2018 - 19 juli 2018. Kyoto, Japan: ACM. 951-958.
- Doerr C., Wang H., Ye F., Rijn S.J. van & Bäck T.H.W. (2018), IOHprofiler: A Benchmarking and Profiling Tool for Iterative Optimization Heuristics.
- Rijn S.J. van, Wang H., Stein B. van & Bäck T.H.W. (2017), Algorithm configuration data mining for CMA evolution strategies, GECCO '17 Proceedings of the Genetic and Evolutionary Computation Conference. Genetic and Evolutionary Computation Conference (GECCO 2017) 15 juli 2017 - 19 juli 2017. New York: ACM. 737-744.
- Rijn Sander van, Hao Wang, Leeuwen M. van & Bäck T.H.W. (2016), Evolving the Structure of Evolution Strategies, 2016 IEEE Symposium Series on Computational Intelligence (SSCI). IEEE SSCI 2016 6 december 2016 - 9 december 2016: IEEE Publishing. 1-8.