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- W1720147346 abstract "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 allows the ordering to be reviewed and modified as each event is scheduled; a necessary step since the timetable and constraints are altered as events are placed. Our approach uses a Kohonen self organising neural network and is shown to have wide applicability. Results are presented for a range of examination timetabling problems using standard benchmark datasets." @default.
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- W1720147346 date "2006-01-01" @default.
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- W1720147346 title "A New Neural Network Based Construction Heuristic for the Examination Timetabling Problem" @default.
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- W1720147346 doi "https://doi.org/10.1007/11844297_40" @default.
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