activity
20162026
most citedIOHprofiler: A Benchmarking and Profiling Tool for Iterative Optimization Heuristics

52 citations · 138 across the 8 of their papers we have counts for

collaborators

8 papers

eess.SY2026

Technology configurations for decarbonizing residential heat supply through district heating and implications for the electricity network

Christian Doh Dinga, Francesco Lombardi, Roald Arkesteijn +4

District heating networks (DHNs) have significant potential to decarbonize residential heating and accelerate the energy transition. However, designing carbon-neutral DHNs requires…

physics.app-ph2026

A scalability benchmark study of model order reduction techniques for very large, strongly coupled vibroacoustic problems

Sander Metting van Rijn, Linus Taenzer, Paolo Tiso +1

Model Order Reduction (MOR) can significantly reduce the computational cost of vibroacoustic simulations. While most MOR research focuses on single-domain systems (e.g., structural…

eess.SY2025

On the Smart Coordination of Flexibility Scheduling in Multi-carrier Integrated Energy Systems

Christian Doh Dinga, Sander van Rijn, Laurens de Vries +1

Coordinating the interactions between flexibility assets in multi-carrier integrated energy systems (MIES) can lead to an efficient integration of variable renewable energy resourc…

cs.CE2021★ 1 cited

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

Sander van Rijn, Sebastian Schmitt, Matthijs van Leeuwen +1

In the context of optimization approaches to engineering applications, time-consuming simulations are often utilized which can be configured to deliver solutions for various levels…

cs.NE2019★ 21 cited

Online Selection of CMA-ES Variants

Diederick Vermetten, Sander van Rijn, Thomas Bäck +1

In the field of evolutionary computation, one of the most challenging topics is algorithm selection. Knowing which heuristics to use for which optimization problem is key to obtain…

cs.NE2018★ 52 cited

IOHprofiler: A Benchmarking and Profiling Tool for Iterative Optimization Heuristics

Carola Doerr, Hao Wang, Furong Ye +2

IOHprofiler is a new tool for analyzing and comparing iterative optimization heuristics. Given as input algorithms and problems written in C or Python, it provides as output a stat…

cs.NE2018★ 21 cited

Towards a Theory-Guided Benchmarking Suite for Discrete Black-Box Optimization Heuristics: Profiling EA Variants on OneMax and LeadingOnes

Carola Doerr, Furong Ye, Sander van Rijn +2

Theoretical and empirical research on evolutionary computation methods complement each other by providing two fundamentally different approaches towards a better understanding of b…

cs.NE2016★ 43 cited

Evolving the Structure of Evolution Strategies

Sander van Rijn, Hao Wang, Matthijs van Leeuwen +1

Various variants of the well known Covariance Matrix Adaptation Evolution Strategy (CMA-ES) have been proposed recently, which improve the empirical performance of the original alg…