NDLI: Interactive timetabling system using genetic algorithms

Content Provider	IEEE Xplore Digital Library
Author	Kanoh, H. Sakamoto, Y.
Copyright Year	2004
Description	Author affiliation: Graduate Sch. of Syst. & Information, Tsukuba Univ., Ibaraki, Japan (Kanoh, H.; Sakamoto, Y.)
Abstract	This paper discusses a new solution to university course timetabling problems. Problems that belong to the NP-hard class are very difficult to solve using conventional optimization techniques. Our solution methodology is based on genetic algorithms which use an installed knowledge base. The knowledge here is a set of candidate partial solutions of the final solution. The proposed method is to use both a knowledge base and constraints to solve the problems efficiently. The timetables obtained can satisfy teachers' personal requests and present the advantages of past timetables. Experiments using timetables of University of Tsukuba showed that this approach is an effective solution method. The proposed method includes general techniques concerning the use of domain specific knowledge that can be applied to a variety of large-scale real-life combinatorial optimization problems.
Starting Page	5852
Ending Page	5857
File Size	351814
Page Count	6
File Format	PDF
ISBN	0780385667
ISSN	1062922X
DOI	10.1109/ICSMC.2004.1401129
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2004-10-10
Publisher Place	Netherlands
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Genetic algorithms Large-scale systems Systems engineering and theory Interactive systems Educational institutions Genetic engineering Optimization methods Search problems Constraint optimization Logic programming
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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