Speaker: Domagoj Jakobovic, Full Professor, University of Zagreb, Croatia
Date: 12 January 2023
Time: 8:00 - 9:00pm (New Zealand Time, UTC+13)
Domagoj Jakobovic is a full professor at the Faculty of Electrical Engineering and Computing, University of Zagreb, Croatia. His research interests include evolutionary algorithms, optimization methods and parallel algorithms. His main contributions are in the area of machine-aided scheduling, optimization problems in cryptography and security, parallelization and improvement of evolutionary algorithms. He has published more than 120 papers, led several research projects, and serves as a reviewer for many international journals and conferences. He has given tutorials in top conferences in computational intelligence, such as GECCO and PPSN. He has supervised seven PhD theses and more than 200 bachelor and master theses.
Scheduling problems are encountered in many real-world situations and scenarios. In practice, the problem is often dynamic, which means that not all information is available at the outset or that information may change over time, so the schedule needs to be constructed simultaneously with the execution of the system. To solve scheduling problems under dynamic conditions, various problem-specific heuristics, called dispatching rules, have been designed. However, manually designing such heuristics is a difficult and lengthy process. Therefore, a great deal of research is focused on automatically designing new scheduling heuristics. This has led to the application of hyperheuristics, methods that can automatically develop new heuristics for various problems, to this problem. Genetic programming is usually the method of choice for generating new dispatching rules, since in numerous occasions it generated good dispatching rules for various difficult scheduling environments. This talk will cover recent developments in the automatic generation of dispatching rules, as well as outline several new research directions in this field.
The Webinar went very successful, with 60+ participants.
The recorded video can be accessed at YouTube and Bilibili.com.
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