Popis Deep learning is a rapidly growing discipline in the last ten years for many scientific disciplines. However, the way to utilize the neural network for scheduling is unclear and rarely studied in the literature[2]. Nevertheless, data-driven approaches have clear advantages for solving combinatorial problems, as has been shown in [1]. The target of the project is to propose an effective data-driven algorithm for the selected scheduling problem.
[1] Bouska, Novák, Šůcha, Módos, Hanzálek. "Data-driven Algorithm for Scheduling with Total Tardiness" ICORES. 2020.
[2] Vinyals, Oriol, Meire Fortunato, and Navdeep Jaitly. "Pointer networks." Advances in neural information processing systems. 2015.