Publications and Research
Document Type
Article
Publication Date
2024
Abstract
Most timetabling problems have a given objective function to measure the quality of a solution. However, users may have a “I know it when I see it” recognition of a quality schedule, without specifying the complete basis for their judgment. In this situation, the objective function cannot be exclusively used as a solution quality measurement. This work presents an AI based approach to aid in categorizing the solution’s quality when the users have not explicitly defined all factors used in their criteria.
Included in
Artificial Intelligence and Robotics Commons, Graphics and Human Computer Interfaces Commons, Other Operations Research, Systems Engineering and Industrial Engineering Commons
Comments
This paper was originally published in the Proceedings of the 14th International Conference on the Practice and Theory of Automated Timetabling, PATAT 2024, available at https://patatconference.org/patat2024/proceedings/papers/243.pdf