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Research Paper (undergraduate) from the year 2009 in the subject Computer Science - Applied, , language: English, abstract: AbstractIn this thesis, we present an introduction about genetic algorithms (GAs). Genetic algorithms are not too hard to program or understand, since they are biologically based. This thesis also shows scheduling problems, expecially examination scheduling problems. We provide a way that can be easily used to apply the evolutionary principle to the problem solutions. Furthermore, these are the program's applications in reality as well as in science.Keyword: Genetic Algorithms, Scheduling Problems, ExaminationScheduling Problems.…mehr

Produktbeschreibung
Research Paper (undergraduate) from the year 2009 in the subject Computer Science - Applied, , language: English, abstract: AbstractIn this thesis, we present an introduction about genetic algorithms (GAs). Genetic algorithms are not too hard to program or understand, since they are biologically based. This thesis also shows scheduling problems, expecially examination scheduling problems. We provide a way that can be easily used to apply the evolutionary principle to the problem solutions. Furthermore, these are the program's applications in reality as well as in science.Keyword: Genetic Algorithms, Scheduling Problems, ExaminationScheduling Problems.