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Plenary Speaker

Engineering Design with Evolutionary Computation and Data Analytics

Dr. Bernhard Sendhoff
Honda Research Institute Europe GmbH

 


Abstract:

I will outline a framework for the application of methods from evolutionary computation to shape and surface optimization in engineering design. The framework, which has to cope with high dimensional representations, large computation times, multiple criteria and constraints is applied to a number of different problems from the domain of Formula 1 race car design, passenger car design and gas turbine design. Challenges and open questions will be described. The issue of robustness in engineering design will be addressed both from a more fundamental as well as a practical viewpoint. Engineering Design is a nonlinear process involving several teams simultaneously. This leads to particular challenges in the application of optimization technologies, which we try to address using concepts of evolvability or predictive optimization, which are related to dynamic optimization.

Finally, during an engineering design process many data are generated from different sources and representations following different targets. The application of data analytics to extract knowledge from this heterogeneous information and how the knowledge can be fed back to the process either by communication with the engineer or by adapting the parameterization of the optimization framework will be the topic of the last part of my presentation.

 

Biography:

Bernhard Sendhoff obtained a PhD in Applied Physics in May 1998, from the Ruhr-Universität Bochum, Germany. From 1999 to 2002 he worked for Honda R&D Europe GmbH, and since 2003, he has been with Honda Research Institute Europe GmbH. Since 2007 he is Honorary Professor of the School of Computer Science of the University of Birmingham, UK. Since 2008, he is Honorary Professor at the Technical University of Darmstadt, Germany. Since 2011 he is President of the Honda Research Institute Europe GmbH.

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