About
The aim of the workshop is to discuss various cutting edge design exploration techniques for practical design problems through invited lectures from the machine learning and aerospace disciplines. The workshop is mainly focused on how machine learning methods can be used for aerospace applications, which generally contain multi-objective and multi-disciplinary features.
Workshop Topics:
#Multi-Objective Design Optimisation #Multi-Disciplinary Design Optimisation #Robust Design #Data Mining #Data Fusion
Finally, the workshop aims to encourage researchers to apply their techniques and methods to the presented problems and to encourage continued research into similar problems from the field.
The workshop homepage can be found at http://web.mac.com/davidrh/MLA09/Workshop.html
Related categories
Uploaded videos:
Invited Speakers
Multi-Objective Design Exploration (MODE) - Visualization and Mapping of Design ...
Jul 20, 2009
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5657 Views
Pascal Invited Speakers
On the Use of Supervised Learning Techniques to Speed up the Design of Aeronauti...
Jul 20, 2009
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3233 Views
Differentiable and Quasi-Differentiable Methods for Optimal Shape Design in Aero...
Jul 20, 2009
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4170 Views
GCOE Invited Speakers
Surrogate-based Constrained Multi-Objective Optimization
Jul 20, 2009
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8207 Views
Self-Organizing Maps to Enhance Local Performance of Multi Objective Opimization
Jul 20, 2009
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4803 Views
Learning and Prediction - A Survey
Jul 20, 2009
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3991 Views
Surrogate Assisted Optimization Methods: Recent Developments and Challenges
Jul 20, 2009
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5594 Views
Lectures
Knowledge Extraction from Aerodynamic Design Data and its Application to 3D Turb...
Jul 20, 2009
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4867 Views
Surrogate-Based Optimization at ONERA: Some Recent Examples
Jul 20, 2009
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4728 Views
Multi-Objective Design Exploration (MODE) - Aerodynamic Applications at Tohoku U...
Jul 20, 2009
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3705 Views
Identification of Eigenmodes in Vibration Data
Jul 20, 2009
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8314 Views