Database query optimization strategy algorithm based on two phase
HE Shu-lua · Jiguang zazhi · 2015
According to the basic fruit fly optimization algorithm and other database query optimization algorithms have the low query efficiency,it is difficult to find the global optimal solutions defects,this paper proposed a database query optimization algorithm based on two stage optimization strategy.Firstly,the defects of fruit fly optimization algorithm are analyzed,and the adaptive step size and modified taste concentration decision value strategy are introduced,and then the improved fruit fly optimization algorithm is used to solve database query optimization problem,finally genetic algorithm is used to find the optimal database query solution,and the performance is tested by he simulation experiment.The simulation results show that compared with t fruit fly optimization algorithm and particle swarm optimization algorithm,the proposed algorithm not only speed up the database query efficiency for solving optimization problems,and get better scheme of the database query.