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Books and Theses
- 2014
[b1]Lars Gräning:
Shape mining: knowledge extraction from engineering design data. Bielefeld University, Cuvillier 2014, ISBN 978-3-95404-817-5, pp. 1-159
Journal Articles
- 2014
- [j2]Lars Gräning, Bernhard Sendhoff
:
Shape mining: A holistic data mining approach for engineering design. Adv. Eng. Informatics 28(2): 166-185 (2014) - 2008
- [j1]Lars Gräning, Stefan Menzel, Martina Hasenjäger, Thomas Bihrer, Markus Olhofer, Bernhard Sendhoff:
Knowledge Extraction from Aerodynamic Design Data and its Application to 3D Turbine Blade Geometries. J. Math. Model. Algorithms 7(4): 329-350 (2008)
Conference and Workshop Papers
- 2016
- [c10]Tobias Rodemann, Lars Gräning, Ken Nishikawa:
Automatic energy management controller design for hybrid electric vehicles. SSCI 2016: 1-8 - 2013
- [c9]Lars Gräning, Thomas Ramsay:
Quantifying Flow Field Distances Based on a Compact Streamline Representation. IDEAL 2013: 445-454 - 2012
- [c8]Lars Gräning, Stefan Menzel, Thomas Ramsay, Bernhard Sendhoff:
Application of Sensitivity Analysis for an Improved Representation in Evolutionary Design Optimization. ICGEC 2012: 417-420 - 2011
- [c7]Michael Rath, Lars Graening:
Modeling Design and Flow Feature Interactions for Automotive Synthesis. IDEAL 2011: 262-270 - 2010
- [c6]Lars Gräning, Nikola Aulig, Markus Olhofer:
Towards Directed Open-Ended Search by a Novelty Guided Evolution Strategy. PPSN (2) 2010: 71-80 - 2009
- [c5]Lars Gräning, Markus Olhofer, Bernhard Sendhoff:
Interaction Detection in Aerodynamic Design Data. IDEAL 2009: 160-167 - 2008
- [c4]Zdravko Bozakov, Lars Gräning, Stephan Hasler, Heiko Wersing, Stefan Menzel:
Unsupervised extraction of design components for a 3D parts-based representation. IJCNN 2008: 2009-2016 - 2007
- [c3]Lars Gräning, Markus Olhofer, Bernhard Sendhoff:
Knowledge Extraction from Unstructured Surface Meshes. IDEAL 2007: 497-506 - 2006
- [c2]Lars Gräning, Yaochu Jin, Bernhard Sendhoff:
Generalization Improvement in Multi-Objective Learning. IJCNN 2006: 4839-4846 - 2005
- [c1]Lars Gräning, Yaochu Jin, Bernhard Sendhoff:
Efficient evolutionary optimization using individual-based evolution control and neural networks: A comparative study. ESANN 2005: 273-278
Parts in Books or Collections
- 2007
- [p1]Lars Gräning, Yaochu Jin, Bernhard Sendhoff:
Individual-based Management of Meta-models for Evolutionary Optimization with Application to Three-Dimensional Blade Optimization. Evolutionary Computation in Dynamic and Uncertain Environments 2007: 225-250
Informal and Other Publications
- 2024
- [i1]Thomas Most, Lars Gräning, Sebastian Wolff:
Robustness investigation of quality measures for the assessment of machine learning models. CoRR abs/2408.04391 (2024)
Coauthor Index
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