Data distribution strategy research based on genetic algorithm

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. © Springer-Verlag 2010.