| Generalization improvement in multi-objective learning L Graning, Y Jin, B Sendhoff The 2006 IEEE International Joint Conference on Neural Network Proceedings …, 2006 | 46 | 2006 |
| Shape mining: A holistic data mining approach for engineering design L Graening, B Sendhoff Advanced Engineering Informatics 28 (2), 166-185, 2014 | 41 | 2014 |
| Efficient evolutionary optimization using individual-based evolution control and neural networks: A comparative study. L Gräning, Y Jin, B Sendhoff ESANN, 273-278, 2005 | 41 | 2005 |
| Individual-based management of meta-models for evolutionary optimization with application to three-dimensional blade optimization L Gräning, Y Jin, B Sendhoff Evolutionary computation in dynamic and uncertain environments, 225-250, 2007 | 35 | 2007 |
| Knowledge extraction from aerodynamic design data and its application to 3d turbine blade geometries L Graening, S Menzel, M Hasenjäger, T Bihrer, M Olhofer, B Sendhoff Journal of Mathematical Modelling and Algorithms 7, 329-350, 2008 | 33 | 2008 |
| Towards directed open-ended search by a novelty guided evolution strategy L Graening, N Aulig, M Olhofer Parallel Problem Solving from Nature, PPSN XI: 11th International Conference …, 2010 | 14 | 2010 |
| Analysis of crush-damaged carbon-fiber-reinforced-polymer (CFRP) composites with optimization-assisted post-peak-stress modeling S Dong, L Gräning, K Carney, A Sheldon Journal of Composite Materials 55 (6), 759-774, 2021 | 9 | 2021 |
| Model-guided evolution strategies for dynamically balancing exploration and exploitation E Reehuis, J Kruisselbrink, M Olhofer, L Graening, B Sendhoff, T Bäck The Biannual International Conference on Artificial Evolution. Universite d …, 2011 | 6 | 2011 |
| Modeling design and flow feature interactions for automotive synthesis M Rath, L Graening Intelligent Data Engineering and Automated Learning-IDEAL 2011: 12th …, 2011 | 6 | 2011 |
| Unsupervised extraction of design components for a 3D parts-based representation Z Bozakov, L Graening, S Hasler, H Wersing, S Menzel 2008 IEEE International Joint Conference on Neural Networks (IEEE World …, 2008 | 6 | 2008 |
| Flow field data mining based on a compact streamline representation L Graening, T Ramsay SAE Technical Paper, 2015 | 5 | 2015 |
| Application of Sensitivity Analysis for an Improved Representation in Evolutionary Design Optimization L Graening, S Menzel, T Ramsay, B Sendhoff Genetic and Evolutionary Computing (ICGEC), 2012 Sixth International …, 2012 | 5 | 2012 |
| Interaction detection in aerodynamic design data L Graening, M Olhofer, B Sendhoff Intelligent Data Engineering and Automated Learning-IDEAL 2009: 10th …, 2009 | 4 | 2009 |
| Aerodynamic design optimization using information extracted from analysis of unstructured surface meshes L Graning, M Olhofer, B Sendhoff US Patent 9,659,122, 2017 | 3 | 2017 |
| Automatized machine learning approach for industrial application T Most, L Gräning, J Will, A Abdulhkim | 3 | |
| Parametric Optimization of CAE Material Models for Carbon-Fiber-Reinforced Polymer (CFRP) Composites S Dong, L Gräning, K Carney, A Sheldon NAFEMS World Congress, 2017 | 2 | 2017 |
| Automatic energy management controller design for hybrid electric vehicles T Rodemann, L Gräning, K Nishikawa 2016 IEEE Symposium Series on Computational Intelligence (SSCI), 1-8, 2016 | 2 | 2016 |
| Knowledge Incorporation into Evolutionary Algorithms to speed up Aerodynamic Design Optimizations S Ramanathan, L Graening Universitat Stuttgart, 2009 | 2 | 2009 |
| Knowledge extraction from unstructured surface meshes L Graening, M Olhofer, B Sendhoff International Conference on Intelligent Data Engineering and Automated …, 2007 | 2 | 2007 |
| Robustness investigation of cross-validation based quality measures for model assessment T Most, L Gräning, S Wolff arXiv preprint arXiv:2408.04391, 2024 | 1 | 2024 |
Bernhard SendhoffHonda Research Institute EuropeBestätigte E-Mail-Adresse bei honda-ri.de
