Efficient evolutionary optimization using individual-based evolution control and neural networks: A comparative study. - Lars Gräning; Yaochu Jin; Bernhard Sendhoff (ESANN, 2005)

Generalization Improvement in Multi-Objective Learning. - Lars Gräning; Yaochu Jin; Bernhard Sendhoff (IJCNN, 2006)

Knowledge Extraction from Unstructured Surface Meshes. - Lars Gräning; Markus Olhofer; Bernhard Sendhoff (IDEAL, 2007)

Individual-based Management of Meta-models for Evolutionary Optimization with Application to Three-Dimensional Blade Optimization. - Lars Gräning; Yaochu Jin; Bernhard Sendhoff (Evolutionary Computation in Dynamic and Uncertain Environments, 2007)

Unsupervised extraction of design components for a 3D parts-based representation. - Zdravko Bozakov; Lars Gräning; Stephan Hasler; Heiko Wersing; Stefan Menzel (IJCNN, 2008)

Knowledge Extraction from Aerodynamic Design Data and its Application to 3D Turbine Blade Geometries. - Lars Gräning; Stefan Menzel; Martina Hasenjäger; Thomas Bihrer; Markus Olhofer; Bernhard Sendhoff (J. Math. Model. Algorithms, 2008)

Interaction Detection in Aerodynamic Design Data. - Lars Gräning; Markus Olhofer; Bernhard Sendhoff (IDEAL, 2009)

Towards Directed Open-Ended Search by a Novelty Guided Evolution Strategy. - Lars Gräning; Nikola Aulig; Markus Olhofer (PPSN (2), 2010)

Modeling Design and Flow Feature Interactions for Automotive Synthesis. - Michael Rath 003; Lars Graening (IDEAL, 2011)

Application of Sensitivity Analysis for an Improved Representation in Evolutionary Design Optimization. - Lars Gräning; Stefan Menzel; Thomas Ramsay; Bernhard Sendhoff (ICGEC, 2012)

Quantifying Flow Field Distances Based on a Compact Streamline Representation. - Lars Gräning; Thomas Ramsay (IDEAL, 2013)

Shape mining: A holistic data mining approach for engineering design. - Lars Gräning; Bernhard Sendhoff (Adv. Eng. Informatics, 2014)

Shape mining: knowledge extraction from engineering design data. - Lars Gräning (Cuvillier, 2014)

Automatic energy management controller design for hybrid electric vehicles. - Tobias Rodemann; Lars Gräning; Ken Nishikawa (SSCI, 2016)

Robustness investigation of quality measures for the assessment of machine learning models. - Thomas Most; Lars Gräning; Sebastian Wolff 005 (CoRR, 2024)