Lars Graening
Lars Graening
Dynardo GmbH, an Ansys company
確認したメール アドレス: ansys.com - ホームページ
タイトル
引用先
引用先
Generalization improvement in multi-objective learning
L Graning, Y Jin, B Sendhoff
The 2006 IEEE International Joint Conference on Neural Network Proceedings …, 2006
382006
Efficient evolutionary optimization using individual-based evolution control and neural networks: A comparative study.
L Gräning, Y Jin, B Sendhoff
ESANN, 273-278, 2005
322005
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 (4), 329-350, 2008
312008
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
292007
Shape mining: A holistic data mining approach for engineering design
L Graening, B Sendhoff
Advanced Engineering Informatics 28 (2), 166-185, 2014
272014
Towards directed open-ended search by a novelty guided evolution strategy
L Graening, N Aulig, M Olhofer
International Conference on Parallel Problem Solving from Nature, 71-80, 2010
102010
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
62011
Flow field data mining based on a compact streamline representation
L Graening, T Ramsay
SAE Technical Paper, 2015
52015
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
52008
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
42012
Aerodynamic design optimization using information extracted from analysis of unstructured surface meshes
L Graning, M Olhofer, B Sendhoff
US Patent 9,659,122, 2017
32017
Modeling design and flow feature interactions for automotive synthesis
M Rath, L Graening
International Conference on Intelligent Data Engineering and Automated …, 2011
32011
Interaction detection in aerodynamic design data
L Graening, M Olhofer, B Sendhoff
International Conference on Intelligent Data Engineering and Automated …, 2009
32009
Knowledge extraction from unstructured surface meshes
L Graening, M Olhofer, B Sendhoff
International Conference on Intelligent Data Engineering and Automated …, 2007
32007
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
22016
Knowledge Incorporation into Evolutionary Algorithms to speed up Aerodynamic Design Optimizations
S Ramanathan, L Graening
Universitat Stuttgart, 2009
22009
Parametric Optimization of CAE Material Models for Carbon-Fiber-Reinforced Polymer (CFRP) Composites
S Dong, L Graening, K Carney, A Sheldon
NAFEMS World Congress, 2017
12017
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
2021
Shape Mining: Knowledge Extraction from Engineering Design Data
L Gräning
Cuvillier Verlag, 2014
2014
Quantifying Flow Field Distances Based on a Compact Streamline Representation
L Graening, T Ramsay
International Conference on Intelligent Data Engineering and Automated …, 2013
2013
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