8 citations · 10 across the 2 of their papers we have counts for
7 papers · 1 filter
Designing Air Flow with Surrogate-assisted Phenotypic Niching
Alexander Hagg, Dominik Wilde, Alexander Asteroth +1
In complex, expensive optimization domains we often narrowly focus on finding high performing solutions, instead of expanding our understanding of the domain itself. But what if we…
An Analysis of Phenotypic Diversity in Multi-Solution Optimization
Alexander Hagg, Mike Preuss, Alexander Asteroth +1
More and more, optimization methods are used to find diverse solution sets. We compare solution diversity in multi-objective optimization, multimodal optimization, and quality dive…
Discovering Representations for Black-box Optimization
Adam Gaier, Alexander Asteroth, Jean-Baptiste Mouret
The encoding of solutions in black-box optimization is a delicate, handcrafted balance between expressiveness and domain knowledge -- between exploring a wide variety of solutions,…
Modeling User Selection in Quality Diversity
Alexander Hagg, Alexander Asteroth, Thomas Bäck
The initial phase in real world engineering optimization and design is a process of discovery in which not all requirements can be made in advance, or are hard to formalize. Qualit…
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…
Data-efficient Neuroevolution with Kernel-Based Surrogate Models
Adam Gaier, Alexander Asteroth, Jean-Baptiste Mouret
Surrogate-assistance approaches have long been used in computationally expensive domains to improve the data-efficiency of optimization algorithms. Neuroevolution, however, has so…