Sander van Rijn

Publication Activity (10 Years)

Years Active: 2015-2021
Publications (10 Years): 12

Top Topics

Iterative Optimization

Candidate Solutions

Top Venues

GECCO (Companion)

Publications

Sander van Rijn, Sebastian Schmitt, Matthijs van Leeuwen, Thomas Bäck
Finding Efficient Trade-offs in Multi-Fidelity Response Surface Modeling. CoRR (2021)
Sander van Rijn, Sebastian Schmitt
MF2: A Collection of Multi-Fidelity Benchmark Functions in Python. J. Open Source Softw. 5 (52) (2020)
Diederick Vermetten, Sander van Rijn, Thomas Bäck, Carola Doerr
Online Selection of CMA-ES Variants. CoRR (2019)
Diederick Vermetten, Sander van Rijn, Thomas Bäck, Carola Doerr
Online selection of CMA-ES variants. GECCO (2019)
Sander van Rijn, Sebastian Schmitt, Markus Olhofer, Matthijs van Leeuwen, Thomas Bäck
Multi-fidelity surrogate model approach to optimization. GECCO (Companion) (2018)
Carola Doerr, Hao Wang, Furong Ye, Sander van Rijn, Thomas Bäck
IOHprofiler: A Benchmarking and Profiling Tool for Iterative Optimization Heuristics. CoRR (2018)
Sander van Rijn, Carola Doerr, Thomas Bäck
Towards an Adaptive CMA-ES Configurator. PPSN (1) (2018)
Carola Doerr, Furong Ye, Sander van Rijn, Hao Wang, Thomas Bäck
Towards a theory-guided benchmarking suite for discrete black-box optimization heuristics: profiling (1 + λ) EA variants on onemax and leadingones. GECCO (2018)
Carola Doerr, Furong Ye, Sander van Rijn, Hao Wang, Thomas Bäck
Towards a Theory-Guided Benchmarking Suite for Discrete Black-Box Optimization Heuristics: Profiling (1+λ) EA Variants on OneMax and LeadingOnes. CoRR (2018)
Sander van Rijn, Hao Wang, Bas van Stein, Thomas Bäck
Algorithm configuration data mining for CMA evolution strategies. GECCO (2017)
Sander van Rijn, Hao Wang, Matthijs van Leeuwen, Thomas Bäck
Evolving the Structure of Evolution Strategies. CoRR (2016)
Sander van Rijn, Hao Wang, Matthijs van Leeuwen, Thomas Bäck
Evolving the structure of Evolution Strategies. SSCI (2016)
Sander van Rijn, Michael T. M. Emmerich, Edgar Reehuis, Thomas Bäck
Optimizing Highly Constrained Truck Loadings Using a Self-Adaptive Genetic Algorithm. CEC (2015)