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.
作者
林志鸿
LIN Zhi-hong(Department of Informational Engineering,Meizhouwan College of Vocational Technology Putian Fujian 351254 China)
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)
关键词
大数据
搜索
改进遗传算法
Large data
Search
Improved genetics algorithm
