Research of Query Optimization Based on Improved Quantum Particle Swarm Optimization Algorithm in Distributed Database

摘要：

　　Database query optimization is a very complicated issue,also is the key influencing factor in database systems performance.Database query operation efficiency is one of the key factors that affect system response time.Therefore,how to improve the efficiency of database query system becomes particularly important.This paper,on the basis of the advantages of Quantum particle swarm optimization algorithm,proposes distributed database query optimization methods based on Quantum particle swarm optimization algorithm,and improves algorithm.Simulation comparison experiments show that Quantum particle swarm optimization algorithm can improve the efficiency of the distributed database query,and is an effective way to solve the optimization of distributed database query.

关键词： query optimization distributed database database query quantum particle swarm optimization algorithm

作者: Fumin Liu Jingyong Wang

作者单位: School of Computer Science and Technology, Henan Polytechnic University,Jiaozuo, China

会议类型: 国际会议

会议名称: 2012 2nd international Conference on Materials Science and Information Technology(2012第二届材料科学与信息技术国际会议)(MSIT2012)

会议地点: 西安

会议语种:英文

页码: 1365-1369

在线出版日期: 2012-08-24（万方平台首次上网日期，不代表论文的发表时间）