52 citations · 138 across the 8 of their papers we have counts for
4 papers · 1 filter
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…
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…
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…
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…