Sander van Rijn

According to our database, Sander van Rijn authored at least 12 papers between 2015 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2022

Finding Efficient Trade-offs in Multi-Fidelity Response Surface Modeling: Generated data files and figures.

Sander van Rijn, Sebastian Schmitt, Matthijs van Leeuwen, Thomas Bäck

Dataset, February, 2022

2021

Finding Efficient Trade-offs in Multi-Fidelity Response Surface Modeling: Generated data files and figures.

Sander van Rijn, Sebastian Schmitt, Matthijs van Leeuwen, Thomas Bäck

Dataset, February, 2021

Finding Efficient Trade-offs in Multi-Fidelity Response Surface Modeling.

Sander van Rijn, Sebastian Schmitt, Matthijs van Leeuwen, Thomas Bäck

CoRR, 2021

2020

MF2: A Collection of Multi-Fidelity Benchmark Functions in Python.

Sander van Rijn, Sebastian Schmitt

J. Open Source Softw., 2020

2019

Online selection of CMA-ES variants.

Diederick Vermetten, Sander van Rijn, Thomas Bäck, Carola Doerr

Proceedings of the Genetic and Evolutionary Computation Conference, 2019

2018

IOHprofiler: A Benchmarking and Profiling Tool for Iterative Optimization Heuristics.

Carola Doerr, Hao Wang, Furong Ye, Sander van Rijn, Thomas Bäck

CoRR, 2018

Towards an Adaptive CMA-ES Configurator.

Sander van Rijn, Carola Doerr, Thomas Bäck

Proceedings of the Parallel Problem Solving from Nature - PPSN XV, 2018

Multi-fidelity surrogate model approach to optimization.

Sander van Rijn, Sebastian Schmitt, Markus Olhofer, Matthijs van Leeuwen, Thomas Bäck

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2018

Towards a theory-guided benchmarking suite for discrete black-box optimization heuristics: profiling (1 + λ) EA variants on onemax and leadingones.

Carola Doerr, Furong Ye, Sander van Rijn, Hao Wang, Thomas Bäck

Proceedings of the Genetic and Evolutionary Computation Conference, 2018

2017

Algorithm configuration data mining for CMA evolution strategies.

Sander van Rijn, Hao Wang, Bas van Stein, Thomas Bäck

Proceedings of the Genetic and Evolutionary Computation Conference, 2017

2016

Evolving the structure of Evolution Strategies.

Sander van Rijn, Hao Wang, Matthijs van Leeuwen, Thomas Bäck

Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

2015

Optimizing Highly Constrained Truck Loadings Using a Self-Adaptive Genetic Algorithm.

Sander van Rijn, Michael T. M. Emmerich, Edgar Reehuis, Thomas Bäck

Proceedings of the IEEE Congress on Evolutionary Computation, 2015