activity
20172026
most citedData-Efficient Exploration, Optimization, and Modeling of Diverse Designs through Surrogate-Assisted Illumination

45 citations · 146 across the 13 of their papers we have counts for

collaborators

13 papers

q-bio.QM2026★ 1 cited

MetaboliSim: a Python implementation of the Mader model for dynamic and steady-state simulation of muscular energy metabolism

Katharina Dunst, Vincent Scharf, Clemens Hesse +1

The Mader model is the most widely used mathematical framework for muscular energy metabolism in German-language sport science, underpinning lactate diagnostics, maximal lactate st…

cs.LG2025

Full Domain Analysis in Fluid Dynamics

Alexander Hagg, Adam Gaier, Dominik Wilde +3

Novel techniques in evolutionary optimization, simulation and machine learning allow for a broad analysis of domains like fluid dynamics, in which computation is expensive and flow…

cs.NE2023

Efficient Quality Diversity Optimization of 3D Buildings through 2D Pre-optimization

Alexander Hagg, Martin L. Kliemank, Alexander Asteroth +4

Quality diversity algorithms can be used to efficiently create a diverse set of solutions to inform engineers' intuition. But quality diversity is not efficient in very expensive p…

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.LG2021★ 13 cited

Expressivity of Parameterized and Data-driven Representations in Quality Diversity Search

Alexander Hagg, Sebastian Berns, Alexander Asteroth +2

We consider multi-solution optimization and generative models for the generation of diverse artifacts and the discovery of novel solutions. In cases where the domain's factors of v…