A grouping genetic algorithm (GGA) for the university course timetabling problem is outlined. We propose six different fitness functions, all sharing the same common goal, and look...
Combinations of evolutionary based approaches with local search have provided very good results for a variety of scheduling problems. This paper describes the development of such a...
This paper presents an attempt to find a statistical model that predicts the hardness of the University Course Timetabling Problem by analyzing instance properties. The model may l...
This paper presents a hybrid evolutionary algorithm to tackle university course timetabling problems. The proposed approach is an extension of a non-linear great deluge algorithm i...
Abstract The Examination Timetabling problem regards the scheduling for the exams of a set of university courses, avoiding the overlapping of exams having students in common, fairl...