Abstract: Deep supervised learning algorithms typically require a large volume of labeled data to achieve satisfactory performance. However, the process of collecting and labeling such data can be ...

Abstract: The timetabling problem, a well-known NP-Hard optimization challenge, spans multiple domains such as education, healthcare, sports, and transportation. Due to its computational complexity, ...