基于改进遗传算法的大数据智能搜索研究  

Intelligent Search for Large data based on Improved Genetics Algorithm

作　　者：林志鸿[1] LIN Zhi-hong(Department of Informational Engineering,Meizhouwan College of Vocational Technology Putian Fujian 351254 China)

机构地区：[1]湄洲湾职业技术学院信息工程系,福建莆田351254

出　　处：《辽宁科技学院学报》2018年第1期18-19,17,共3页Journal of Liaoning Institute of Science and Technology

基　　金：2015年福建省教育厅科技一般项目(JA15855)

摘　　要：为了能够提高大数据搜索的效率和准确性,将改进遗传算法引入到了大数据智能搜索系统中。文章首先分析了大数据搜索系统的基本构造和原理;其次设计了改进遗传算法,并且研究了相应的数学模型。然后设计了基于改进遗传算法的大数据智能搜索算法流程,并且以某证券公司的大数据为例,进行了仿真分析。仿真结果表明,改进遗传算法能够有效地提高大数据检索的有效性。In order to improve the search efficiency and accuracy of large data,the improved genetics algorithm is introduced to the large data intelligent search system.Firstly,the basic structure and principle of the large data search system are analyzed.Secondly,the improved genetics algorithm is designed,and the corresponding mathematical model is studied.Then,the process of large data intelligent search algorithm based on improved genetics algorithm is designed,and the simulation analysis is carried out using a big data of a securities company as example,the simulation results show that the improved genetics algorithm can effectively improve the effectiveness of data.

关 键 词：大数据 搜索 改进遗传算法 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程]