PROF. ROMAN SENKERIK

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Title: Large Language Models for Metaheuristics Design

Abstract: This tutorial explores the connection between generative AI and optimization through engaging demonstrations and discussions. The goal is to showcase a unique combination of techniques and provide deeper insights into the usability, prompting, and reasoning of the outputs of Generative AI. Additionally, it highlights the impact of Generative AI on the design, selection, performance improvements, efficiency, and understanding of optimization or machine learning techniques. This research plays a crucial role in science and engineering, both theoretically and practically. Future directions and potential impacts on algorithmic problem-solving in various domains will also be discussed.

Prof. Roman Senkerik received his Ph.D. degree in Technical Cybernetics from the Tomas Bata University in Zlin, Czech Republic in 2008. He is currently a full professor at the Tomas Bata University in Zlin, Faculty of Applied Informatics. His research interests include interdisciplinary applications of evolutionary computation, modification and development of evolutionary and swarm based algorithms, computational intelligence, optimization, cyber-security, theory of chaos, emergence and complexity.