计算机工程与应用Issue(11)：110-114,5.DOI:10.3778/j.issn.1002-8331.1312-0467
基于多子群萤火虫算法的数据库查询优化
Query optimization of database based on multi-group firefly algorithm
摘要
Abstract
Query optimization is a key factor to improve the performance of database systems, in order to solve low query problem of traditional database query optimization algorithm, a novel query optimization method of database based on multi-group firefly algorithm is proposed. Firstly, query plan for a left deep tree is taken as a firefly, and then firefly colony is divided into several subgroups and the optimal query plan is obtained by transfer of subgroups information, finally, perfor-mance of the method is tested by database query optimization. The results show that the proposed algorithm is an effective method for database query optimization, and can obtain good query optimization plan.关键词
数据库/萤火虫优化算法/查询优化/多子群Key words
database/firefly algorithm/optimization query/multi-group分类
信息技术与安全科学引用本文复制引用
刘东..基于多子群萤火虫算法的数据库查询优化[J].计算机工程与应用,2014,(11):110-114,5.基金项目
陕西教育厅专项科研项目（No.2013JK1058）。 （）
