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Generating Lecture Timetables In A University Using Genetic Algorithm

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dc.contributor.author Hset, Thu Thu
dc.date.accessioned 2019-07-19T03:50:06Z
dc.date.available 2019-07-19T03:50:06Z
dc.date.issued 2017-12-27
dc.identifier.uri http://onlineresource.ucsy.edu.mm/handle/123456789/1024
dc.description.abstract Genetic algorithms (GA) are powerful general purpose optimization tools.This system presents for generating thelecture timetables by using GA to assist in timetable generating.In the implementation of the system pre-defined constraints are used to get the optimized solutions.Timetable generation for a university involves various challenging constraints of resources including lecturers, rooms, subjects, student groups etc. The generation of a population of solutions, finding the objective function and the application of genetic operatorsare the major steps of the system. A timetable with binary representation is applied with several operators with the aim of preventing the violation of the fundamental constraints. The data are collected from 2015-16 academic year of the National University of Arts and Culture in Yangon and are applied to generate lecture time tables in this system. en_US
dc.language.iso en en_US
dc.publisher Eighth Local Conference on Parallel and Soft Computing en_US
dc.title Generating Lecture Timetables In A University Using Genetic Algorithm en_US
dc.type Article en_US


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