SC²S Colloquium - Sep 12, 2018

Date:	Sep 12, 2018
Room:	02.07.023
Time:	15:00 - 15:30

Yehor Yudin: Artificial Neural Network Approach to Design Optimization

This is a Master's Thesis submission talk advised by Stefan Gavranovic and Sergey Zakharov

Design Optimization is a perspective engineering approach which can find solutions for many engineering problems under multiple constraints in a non-analytic manner. The existing algorithms are computationally expensive and could be accelerated by finding approximate results using data-driven methods. This work proposes an approach to predict the material layout of elements with minimal compliance using a convolutional neural network model. The work proposes the corresponding CNN architecture and analyzes the ability of the model to interpolate various parameters and its capacity to be trained on small datasets. Both 2D and 3D cases are considered and an approach to use the model-produced results as an educated guess for further TO performance improvement is proposed and examined.

Keywords: Convolutional Neural Network, Design Optimization