基于遗传算法的查询优化算法及其在税收专业化系统中的应用研究

Research on Query Optimization Based on Genetic Algorithm and Its Application in Tax Professionalization System

税收专业化是税收发展的必然趋势,税收专业化系统将税收工作信息化、专业化、智能化,提高了税收效率,节省了资源。随着系统数据量的日趋庞大,记录查询的结果越来越差。提出一种基于改进遗传算法的查询优化技术,改进适应税收专业化系统的编码方案,以及相对应的交叉算子、变异算子,应用于税收专业化系统时,表现出良好的性能,与一般查询方法相比,能大大提高数据查询的查全率与查准率。

Tax professionalization is a certain trend of development of global tax, which turns to be more informational, professional and intelligent. Tax professionalization system promotes efficiency and conserves resources. With the increasingly large amout of system data, the result of record query is getting worse. Puts forward a query optimization technology based on improved genetic algorithm. And proposes a new GA encoding scheme. Designs the corresponding genetic operatots and adaptive function. It works well in tax professionalization system and compared with normal query, it can enhance the recall ratio and the precision ratio.