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- W161749103 abstract "In this paper, we first analyze the relationship between curricula, teachers, classes, time and classrooms, which is a graph. Then on the basis of constraint conditions in Scheduling Curriculum practically in universities, we presents a Curriculum Schedule optimization model, in which the greed strategy is used to optimize Genetic Algorithm (GA), and a new GA encoding scheme is employed to design fitness function and punishment function for curriculum schedule problems. This model effectively improved the running performance, which provides a better implementation approach for improvements of the existing curriculum schedule systems. The experimental results show that fitness values of the improved GA algorithm are of obvious evolutional tendency, the chromosome encoding scheme and the fitness function can meet curriculum schedule requirements preferably, and the more adequate computation resources, the greater possibilities of no restoration for the obtained optimal individual." @default.
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- W161749103 date "2012-01-01" @default.
- W161749103 modified "2023-09-25" @default.
- W161749103 title "Application Research on Greed Strategy-Based GA in Optimizing Curriculum Schedule Model in Universities" @default.
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- W161749103 doi "https://doi.org/10.1007/978-3-642-28592-9_39" @default.
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