Sander van Rijn
PhD candidate
- Name
- S.J. van Rijn MSc
- Telephone
- +31 71 527 4799
- s.j.van.rijn@liacs.leidenuniv.nl
- ORCID iD
- 0000-0001-6159-041X
PhD candidate
- Science
- Leiden Inst of Advanced Computer Science
- 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. (Ed.), Gecco '19: Proceedings of the Genetic and Evolutionary Computation Conference Companion. GECCO 2019 13 July 2019 - 17 July 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. (Ed.), GECCO'18 Proceedings of the Genetic and Evolutionary Computation Conference Companion. GECCO 2018 15 July 2018 - 19 July 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. (Eds.), Parallel Problem Solving from Nature - PPSN XV. PPSN 2018. PPSN: International Conference on Parallel Solving from Nature 8 September 2018 - 12 September 2018 no. Lecture Notes in Computer Science, volume 11101. Cham: Springer. 54-65.
- 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.
- 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. (Ed.), Proceedings of the Genetic and Evolutionary Computation Conference (GECCO '18). GECCO 2018 15 July 2018 - 19 July 2018. Kyoto, Japan: ACM. 951-958.
- 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 July 2017 - 19 July 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.