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20102026
most citedA strong magnetic field around the supermassive black hole at the centre of the Galaxy

457 citations

Showing cs.NEShow all

10 papers · 1 filter

cs.NE2021★ 17 cited

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…

cs.NE2021★ 7 cited

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…

cs.NE2020★ 35 cited

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,…

cs.NE2019★ 8 cited

Prediction of neural network performance by phenotypic modeling

Alexander Hagg, Martin Zaefferer, Jörg Stork +1

Surrogate models are used to reduce the burden of expensive-to-evaluate objective functions in optimization. By creating models which map genomes to objective values, these models…

cs.NE2019★ 8 cited

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…

cs.NE2018★ 2 cited

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…