Please use this identifier to cite or link to this item: https://www.um.edu.mt/library/oar/handle/123456789/133907
Title: Investigations into the master timetabling problem
Authors: Layfield, Colin
Keywords: Computer scheduling
Time-sharing computer systems
Constraint programming (Computer science)
Metaheuristics
Heuristic algorithms
Computer algorithms
Computational intelligence
Issue Date: 1998
Citation: Layfield, C. (1998). Investigations into the master timetabling problem (Master's dissertation).
Abstract: Timetabling is a varied and interesting topic in the field of operational research. The problem of scheduling courses for departments in a university environment, like the University of Calgary, is no exception. Two methods are examined in order to try to solve this problem. First, a tailor made heuristic is developed. Next, a genetic algorithm, a more generic problem solving metaheuristic, is also developed and applied towards this problem. The Biology/Chemistry department's courses are used as a challenging test bed for these two approaches and the results are compared with the actual schedule used in the 1994-1995 academic year. Both methods could create schedules better than the actual schedule with the heuristic creating the better solutions between the two methods.
Description: M.Sc
URI: https://www.um.edu.mt/library/oar/handle/123456789/133907
Appears in Collections:Scholarly Works - FacICTCIS

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