July 17, 2023 (hybrid)
Evolutionary Computation in Practice
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 cooperation 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 2023, ECiP will be a hybrid event. We will do our best to enable opportunities for establishing contacts among participants.
Program (Overview)
Session. Day: July, 17th, 2023. Time 10:30 – 14:10 Eastern Daylight Time (16:30-20:10 Central European Summer Time)
| Time | Speaker | Title | Affiliation |
| 10:30-11:00 EDT (16:30-17:00 CEST) | Sunith Bandaru | Evolutionary Optimization + Knowledge Discovery: A Practical Combination for Intelligent Decision Support | University of Skövde, Sweden |
| 11:00-11:30 EDT (17:00-17:30 CEST) | … | … | … |
| 11:30-11:50 EDT (17:30-17:50 CEST) | Discussion | ||
| 12:50-13:20 EDT (18:50-19:20 CEST) | … | … | … |
| 13:20-13:50 EDT (19:20-19:50 CEST) | … | … | … |
| 13:50-14:10 EDT (19:50-20:10 CEST) | Discussion |
Details
- Each presentation will be ~ 25 min with additional ~ 5 min of Q&A each.
The final 20 min of the session will be devoted to a more general discussion among the event participants. - While GECCO 2023 is a hybrid event, ECiP will be held physically, because an exchange between the participants works better that way and the event lives from it.
Sunith Bandaru:
Evolutionary Optimization + Knowledge Discovery: A Practical Combination for Intelligent Decision Support
Abstract
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Short CV
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About GECCO
GECCO Schedule at a Glance (https://gecco-2023.sigevo.org/Program)