21 citations · 103 across the 43 of their papers we have counts for
4 papers · 1 filter
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…
Automatic Configuration of Deep Neural Networks with EGO
Bas van Stein, Hao Wang, Thomas Bäck
Designing the architecture for an artificial neural network is a cumbersome task because of the numerous parameters to configure, including activation functions, layer types, and h…
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…
Prototype Discovery using Quality-Diversity
Alexander Hagg, Alexander Asteroth, Thomas Bäck
An iterative computer-aided ideation procedure is introduced, building on recent quality-diversity algorithms, which search for diverse as well as high-performing solutions. Dimens…