@inproceedings{dd347a78075b458c9babec47e20b0bc0,
title = "Effect of using neural networks in GA-based school timetabling",
abstract = "The school timetabling problem is a specific kind of timetabling problems. It is characterized by similar sets of subjects used among schools in different years, and by great extent of human factor involved. This particularity lets us to hope existing timetables to be useful information for actual timetabling process, and neural networks to be a suitable technique to assist it. This paper describes experiments on using neural networks as part of the fitness function of a GA-based school timetabling system, the model of what has been proposed by the author earlier. The experimental results show ability of neural networks to be applied for timetable evaluation, as well as reveal various side effects of using neural networks within GA-based school timetabling.",
keywords = "Fitness Function, Genetic Algorithm, Neural Networks, School Timetabling",
author = "Janis Zuters",
year = "2006",
month = nov,
day = "20",
language = "English",
isbn = "9608457564",
series = "International Conference on Computational Intelligence, Man-Machine Systems and Cybernetics - Proceedings",
publisher = "World Scientific and Engineering Academy and Society",
pages = "117--122",
editor = "Antonella Cecchi and Nikos Mastorakis",
booktitle = "International Conference on Computational Intelligence, Man-Machine Systems and Cybernetics - Proceedings",
address = "Greece",
note = "Proceedings of the 5th WSEAS International Conference on Computational Intelligence, Man-Machine Systems and Cybernetics, CIMMACS '06 ; Conference date: 20-11-2006 Through 22-11-2006",
}