معرفی
Marko Durasevic is affiliated with the University of Zagreb's Faculty of Electrical Engineering and Computing. His primary research focuses on optimization algorithms, scheduling theory, and applications of genetic programming in solving complex combinatorial problems such as container relocation and dynamic machine scheduling. He collaborates extensively with researchers like Domagoj Jakobovic and Stjepan Picek, producing influential work at venues like GECCO, EuroGP, and EvoApplications.
His research interests span automated heuristic design, cryptographic Boolean function optimization, and metaheuristic-based solutions for real-world logistics challenges. Durasevic has contributed to the development of ensemble methods for dispatching rules and energy-efficient heuristic systems, with a strong emphasis on practical applications in operations research and artificial intelligence.
Notable contributions include the use of genetic programming for designing relocation policies in container terminals and evolving Boolean functions with cryptographic properties. His work frequently intersects with evolutionary computation frameworks, emphasizing both theoretical advancements and real-world problem-solving.
