In the Evolutionary Computation in Practice (ECiP) track, well-known speakers with outstanding reputation in academia and industry present background and insider information on how to establish reliable cooperation with industrial partners. They actually run companies or are involved in cooperations between academia and industry.
If you attend, you will learn multiple ways to extend EC practice beyond the approaches found in textbooks. Experts in real-world optimization with decades of experience share their approaches to creating successful projects for real-world clients. Some of what they do is based on sound project management principles, and some is specific to our type of optimization projects. If you are working in academia and are interested in managing industrial projects, you will receive valuable hints for your own research projects.
In 2021, ECiP will be online (virtual) for the first time, which is a great challenge for a track that relies on personal interactions. We will do our best to enable opportunities for establishing contacts among participants.
Niklas Körwer (Siemens AG) will talk about AI-Based Control of Conveyor Applications Using a Digital Twin for Model Training.
The abstract reads as follows:
Machine builders are faced with faster changing markets and increased customer demands everyday. With conventional engineering methods these demands cannot be met anymore which has lead to an increase in the application of simulation and artificial intelligence in key engineering disciplines. Instead of prototypes, digital twins are being created and machine learning algorithms are applied to various machines and processes to improve their performance or to ensure a consistent quality. In this presentation we will show how an artificial intelligence was trained using a digital twin of a real machine and how this AI is integrated into a conventional PLC (Programmable Logic Controller) to improve the machine throughput.
More: https://gecco-2021.sigevo.org/EC-in-Practice