This slideshow requires JavaScript.

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.
The sessions will be on Monday in Topas 1.

Sessions

• Session 1 (S-1): Bridging the gap between academia and industry (Chair: E. Goodman):
  How to establish & continue cooperation with industrial partners.
• Session 2 (S-2): “Real” real-world optimization (Chair: T. Bartz-Beielstein):
  Best practice. Talks & Discussions.
• Session 3 (S-3): Ask the experts / Getting a job (Chair: J.Mehnen and A. Fischbach):
  What to do and what not to do.

More: http://www.spotseven.de/gecco/evolutionary-computation-in-practice/

Hooman Shayani (Autodesk Research)

Hooman Shayani’s talk focuses on the central role of Evolutionary Computation in the future of design and manufacturing, and how academics in the field of Evolutionary Computation can make rapid and impactful contributions to the innovations in these industries.
It starts with an introduction to Autodesk Inc, its vision regarding the Future of Making Things (FOMT), Generative Design, and Dreamcatcher project. Hooman Shayani is a Senior Principal Research Scientist at Autodesk Research. He is part of the Design Research team in the office of the CTO, working on Dreamcatcher project, among other projects. Hooman Shayani will present this talk at GECCO 2017 in the Evolutionary Computation in Practice track on Monday, July 17th.

In the Evolutionary Computation in Practice 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. More information about the ECiP track can be found here: http://www.spotseven.de/gecco/evolutionary-computation-in-practice

Optimization and Learning Through Evolutionary Computation (K. Deb)
Evolutionary and classical algorithms are most often applied to find one or more high-performing solutions for an industrial problem. Such an effort takes a considerable time to formulate the resulting optimization problem, customize an existing algorithm to make it efficient to solve the problem in a reasonable computational time, and evaluate the obtained solutions for their sensitivities to parameter changes. Kalyanmoy Deb (Koenig Endowed Chair Professor at Department of Electrical and Computer Engineering in Michigan State University, USA) will present this talk at GECCO 2017 in the Evolutionary Computation in Practice track on Monday, July 17th.
In the Evolutionary Computation in Practice 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.