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dc.contributorDepartment of Computingen_US
dc.creatorLeung, Yim-ming-
dc.identifier.urihttps://theses.lib.polyu.edu.hk/handle/200/3889-
dc.languageEnglishen_US
dc.publisherHong Kong Polytechnic University-
dc.rightsAll rights reserveden_US
dc.titleTimetabling using genetic algorithmsen_US
dcterms.abstractThe construction of timetable usually involving three or more variables taking values from domains having thousands of values, with several dozens of constraints having different priorities, is a problem common to many educational institutions. Various heuristic solutions have been proposed to timetabling problem using results based on Tabu Search, Logic Approach, Simulated Annealing. This project tries to use Genetic Algorithm approach developed by John. H. Holland to solve this problem. Genetic Algorithm is an appealing approach for scheduling since it is a relatively easy and flexible problem encoding method. To achieve the optimum results, it is found that the mutation operator and crossover operator have to be manipulated. Also, reproduction technique has to be modified to obtain a feasible solution.en_US
dcterms.extentviii, 110 leaves : ill. ; 30 cmen_US
dcterms.isPartOfPolyU Electronic Thesesen_US
dcterms.issued1998en_US
dcterms.educationalLevelAll Masteren_US
dcterms.educationalLevelM.Sc.en_US
dcterms.LCSHScheduling -- Data processingen_US
dcterms.LCSHGenetic algorithmsen_US
dcterms.LCSHHong Kong Polytechnic University -- Dissertationsen_US
dcterms.accessRightsrestricted accessen_US

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