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Constraint-based school timetabling using hybrid genetic algorithms

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dc.creator YİĞİT, Tuncay
dc.date 2006-12-31T22:00:00Z
dc.date.accessioned 2020-10-06T12:02:40Z
dc.date.available 2020-10-06T12:02:40Z
dc.identifier f6f1be63-a2c4-4aa7-9f76-164e28975ee2
dc.identifier https://avesis.sdu.edu.tr/publication/details/f6f1be63-a2c4-4aa7-9f76-164e28975ee2/oai
dc.identifier.uri http://acikerisim.sdu.edu.tr/xmlui/handle/123456789/76443
dc.description In this paper, a hybrid genetic algorithm (HGA) has been developed to solve the constraint-based school timetabling problem (CB-STTP). HGA has a new operator called repair operator, in addition to standard crossover and mutation operators. A timetabling tool has been developed for HGA to solve CB-STTP. The timetabling tool has been tested extensively using real-word data obtained the Technical and Vocational High Schools in Turkey. Experimental results have presented that performance of HGA is better than performance of standard GA.
dc.language eng
dc.rights info:eu-repo/semantics/closedAccess
dc.title Constraint-based school timetabling using hybrid genetic algorithms
dc.type info:eu-repo/semantics/conferenceObject


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