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- W2385402011 abstract "Aiming at the disadvantage of high computation volumn for DNA genetic algorithm and low speed of convergence cross-gene transfer and dynamic mutation probability to mutate are adopted to improve the legality of variation,and the coefficient of the Dynamic mutation probability formula is changed.The male parents of crossove are re-designed in order to keep population diversity and gain new gene information,and contingency adjustment is made to deal with the situation that the best chromosome in the population may occur in the evolutionary process.Through process design and application of the improved DNA genetic algorithm in shop scheduling problem,experiment results show that this method can effectively improve the convergence speed and reduce the high-computing amount resulted from the DNA coding algorithm." @default.
- W2385402011 created "2016-06-24" @default.
- W2385402011 creator A5004290542 @default.
- W2385402011 date "2010-01-01" @default.
- W2385402011 modified "2023-09-23" @default.
- W2385402011 title "Refined DNA Genetic Algorithm for Solving Job Shop Scheduling Problems" @default.
- W2385402011 hasPublicationYear "2010" @default.
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