Query Optimization of Database Based on Gauss Mutation Quantum Behaved Particle Swarm of Optimization Algorithm
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    Abstract:

    In order to solve the defect of quantum particle swarm algorithm, mutation operator of the genetic algorithm is introduced into quantum particle swarm optimization algorithm. It produces a novel query optimization method of database(GM-QPSO). Firstly, the mathematic model is established for database query optimization problems. And then the optimal scheme of database query optimization problems is found by the sharing message of quantum particle. Finally, the simulation experiments is carried out on Matlab 2012. The results show that the proposed algorithm has solved the defect of quantum particle swarm algorithm, and improved query speed of database and can obtain better query scheme.

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李国芳,李静.高斯扰动粒子群算法的数据库查询优化.计算机系统应用,2014,23(8):184-188

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History
  • Received:February 19,2014
  • Revised:March 28,2014
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  • Online: August 18,2014
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