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A New Neural Network Based Construction Heuristic for the Examination Timetabling Problem
[chapter]
2006
Lecture Notes in Computer Science
This paper examines the application of neural networks as a construction heuristic for the examination timetabling problem. Building on the heuristic ordering technique, where events are ordered by decreasing scheduling difficulty, the neural network allows a novel dynamic, multi-criteria approach to be developed. The difficulty of each event to be scheduled is assessed on several characteristics, removing the dependence of an ordering based on a single heuristic. Furthermore, this technique
doi:10.1007/11844297_40
fatcat:b4dd2hqelbdo3cbrfoyxuzf6ea