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Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/5880

Title: A guided search genetic algorithm for the university course timetabling problem
Authors: Jat, SN
Yang, S
Publication Date: 2009
Publisher: MISTA 2009
Citation: The 4th Multidisciplinary International Scheduling Conference: Theory and Applications (MISTA 2009), Dublin, Ireland: 180 - 191, 10 - 12 Aug 2009
Abstract: The university course timetabling problem is a combinatorial optimisation problem in which a set of events has to be scheduled in time slots and located in suitable rooms. The design of course timetables for academic institutions is a very difficult task because it is an NP-hard problem. This paper proposes a genetic algorithm with a guided search strategy and a local search technique for the university course timetabling problem. The guided search strategy is used to create offspring into the population based on a data structure that stores information extracted from previous good individuals. The local search technique is used to improve the quality of individuals. The proposed genetic algorithm is tested on a set of benchmark problems in comparison with a set of state-of-the-art methods from the literature. The experimental results show that the proposed genetic algorithm is able to produce promising results for the university course timetabling problem.
Description: Copyright @ 2009 MISTA
URI: http://bura.brunel.ac.uk/handle/2438/5880
Appears in Collections:Publications
Computer Science
Dept of Computer Science Research Papers

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