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Effect of using neural networks in GA-based school timetabling

Zinātniskās darbības rezultāts: Nodaļa grāmatā/enciklopēdijā/konferences krājumāKonferences zinātniskais rakstsPētniecībakoleģiāli recenzēts

Kopsavilkums

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.

OriģinālvalodaAngļu
Rīkotāja publikācijas nosaukumsInternational Conference on Computational Intelligence, Man-Machine Systems and Cybernetics - Proceedings
RedaktoriAntonella Cecchi, Nikos Mastorakis
IzdevējsWorld Scientific and Engineering Academy and Society
Lapas117-122
Lapu skaits6
ISBN (Drukātā versija)9608457564
Publikācijas statussPublicēts - 20 nov. 2006
PasākumsProceedings of the 5th WSEAS International Conference on Computational Intelligence, Man-Machine Systems and Cybernetics, CIMMACS '06 - Venice, Itālija
Ilgums: 20 nov. 200622 nov. 2006

Publikāciju sērijas

NosaukumsInternational Conference on Computational Intelligence, Man-Machine Systems and Cybernetics - Proceedings
Sējums1

Konference

KonferenceProceedings of the 5th WSEAS International Conference on Computational Intelligence, Man-Machine Systems and Cybernetics, CIMMACS '06
Valsts/TeritorijaItālija
PilsētaVenice
Periods20/11/0622/11/06

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