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Optimal Solution Strategy for University Course Timetabling Problem

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dc.creator Mushi, Allen R.
dc.creator Chacha, S.
dc.date 2016-03-16T15:04:58Z
dc.date 2016-03-16T15:04:58Z
dc.date 2013
dc.date.accessioned 2018-03-27T08:57:46Z
dc.date.available 2018-03-27T08:57:46Z
dc.identifier Stephen, C. and Mushi, A.R., 2013. Optimal Solution Strategy for University Course Timetabling Problem. International Journal of Advanced Research in Computer Science, 4(1).
dc.identifier 0976-5697
dc.identifier http://hdl.handle.net/123456789/1029
dc.identifier.uri http://hdl.handle.net/123456789/4117
dc.description Full text available at http://search.proquest.com/openview/0a0d4bac06d8d4d612928ae1dc0cad4f/1.pdf?pq-origsite=gscholar&cbl=1606379
dc.description This paper describes formulations of the University Course Timetabling Problem as used at Mkwawa University College of Education. University Course Timetabling is the Problem of scheduling resources such as lectures, courses and rooms to a number of timeslots over a planning horizon, normally a week, while satisfying a number of problem-specific constraints. In this study, we have developed three models and tested using real data from the stated University. It has been possible to get optimal solution for real problem instances through reformulations of models which involve a mixture of binary and time-indexed variables.
dc.language en
dc.publisher International Journal of Advanced Research in Computer Science
dc.subject Timetabling Problem
dc.subject Combinatorial Optimization
dc.subject NP-hard problem
dc.subject reformulations
dc.subject scheduling
dc.title Optimal Solution Strategy for University Course Timetabling Problem
dc.type Journal Article


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