17 citations · 58 across the 12 of their papers we have counts for
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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…