Abstract
Data distribution has a direct impact on improving the entire distributed database application system, data availability, and efficiency and reliability of distributed database. In order to solve the data distribution better, this paper adopts adaptive mutation operator to maintain the balance between colony diversity and searching random of the algorism, and presents a strategy based on genetic algorithm. During the study, the paper has improved the genetic algorithm, and proved strategy to be close to the optimal solution by experiment.
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Wei, M., Xu, C. (2010). Data Distribution Strategy Research Based on Genetic Algorithm. In: Zhu, R., Zhang, Y., Liu, B., Liu, C. (eds) Information Computing and Applications. ICICA 2010. Communications in Computer and Information Science, vol 105. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-16336-4_60
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DOI: https://doi.org/10.1007/978-3-642-16336-4_60
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-16335-7
Online ISBN: 978-3-642-16336-4
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