Genetik Algoritma Kullanılarak Ders Çizelgeleme Sistemi Tasarımı
Loading...
Date
2008
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
Open Access Color
OpenAIRE Downloads
OpenAIRE Views
Abstract
Ders çizelgeleme problemi, daha önceden belirlenmiş olan kısıtlar göz önüne alınarak belirli zaman aralıklarına derslerin atanması olarak tanımlanır. Bütün kısıtlar dikkate alınarak, problemin elle çözümü, uzun bir zaman ve sıkı bir çalışma gerektirir. Ayrıca, belirlenen çözüm dikkatsizlikten dolayı yeterli olmayabilir. Bu tezde, kısıt tabanlı üniversite ders çizelgeleme probleminin Genetik Algoritma ile çözümü sunulmuştur. Geliştirilen sistem, Atılım Üniversitesi Mühendislik Fakültesi'nin tüm özelliklerini adresleyen esnek ve akıllı ve ders çizelgeleme faaliyetini otomatik olarak gerçekleştirebilen bir yazılım içermektedir.
Course scheduling problem defined as assigning of courses into specific time slots in a week, considering the special constraints. The manual solution of this problem by considering all constraints usually requires a long time and a hard work in order to provide an appropriate solution. In addition, the obtained solution usually is unsatisfactory due to limited human oversight. In this thesis, Genetic Algorithm (GA) is presented for solving the constraint-based university timetabling problem. The developed system includes flexible and intelligent software that automate the course scheduling task and addresses all special features found in the Atılım University?s Engineering Faculty.
Course scheduling problem defined as assigning of courses into specific time slots in a week, considering the special constraints. The manual solution of this problem by considering all constraints usually requires a long time and a hard work in order to provide an appropriate solution. In addition, the obtained solution usually is unsatisfactory due to limited human oversight. In this thesis, Genetic Algorithm (GA) is presented for solving the constraint-based university timetabling problem. The developed system includes flexible and intelligent software that automate the course scheduling task and addresses all special features found in the Atılım University?s Engineering Faculty.
Description
Keywords
Mühendislik Bilimleri, Engineering Sciences
Turkish CoHE Thesis Center URL
Fields of Science
Citation
WoS Q
Scopus Q
Source
Volume
Issue
Start Page
0
End Page
67