A neural heuristic for school timetabling

The paper analyses the problem of timetabling in high schools. This slow and laborious task is often performed manually, through a process of trial and error. A heuristic based on Hopfield's Artificial Neural Network is proposed for this problem. Furthermore, the computational results obtained from one illustrative timetabling instance and four pseudo-real timetabling problems are discussed. This paper ends with some conclusions about this heuristic approach.