变异遗传散布控制执行算子的数据库分类查询

Query Algorithm of Database Classification Based on Genetic Variation with Distribution Control of Executive Operator

为提高数据查询的寻优能力和查询准确度,对数据库查询进行优化改进。提出一种新型的变异遗传散布控制执行算子数据库分类查询算法。设计遗传散布执行算子,实现对遗传算法数据库查询中的迭代控制,通过定义数据库查询散布值,通过对数据文本的最佳特征提取,通过散布分类查询系数的控制遗传迭代循环,对遗传算法的变异处理,实现最优数据信息相关匹配,可以很好地指导数据查询结果,实现数据库查询的准确性和有效性。仿真实验表明,新算法可以提高半连接下分布式数据库查询的效率,特征呈现高聚敛性匹配,数据查询特征相关匹配度达到97.3%,比传统算法提高了25.6%,寻优时间较传统算法大幅缩短。算法有效提高了数据库查询准确率和效率,具有较强的应用价值。

The performance of the query optimization and precision for the distribute database was researched. A new database classification and query method was proposed based on genetic variation algorithm with distribution control of executive operator, the genetic distribution executive operator was designed, the irritation control was realized for the genetic algorithm, and the query distribution value was defined, and the optimum matching feature extraction was realized for the data. The genetic variation was processed and the optimal data information relative matching was completed, it could guidethe query result with perfect precision and efficiency. Simulation result shows that the new algorithm can improve query performance for the distributed data base, the feature can be matched with high clustering, and the query feature matching degree can reach 97.3% which is improved by 25.6% than traditional method, the searching time is reduced greatly. New algorithm can improve the database query efficiency and accuracy, it has good application value in practice.