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- W2352532062 abstract "Aiming at overcoming the factors that influence course scheduling,difficulties in the optimum assembly,and inefficiency in course scheduling,the thesis puts forward to an improved genetic algorithm.The genetic algorithm improves the encoding mode,population-initializing mode,selection operation,interlace operation,mutation operation,and collision detection mode.The simulation test suggests that the improved genetic algorithm has been greatly improved in convergence speed and obtaining the optimal solution." @default.
- W2352532062 created "2016-06-24" @default.
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- W2352532062 date "2011-01-01" @default.
- W2352532062 modified "2023-09-23" @default.
- W2352532062 title "Application of improved genetic algorithm in course scheduling system" @default.
- W2352532062 hasPublicationYear "2011" @default.
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