Research on Classification of Data Mining Based Niche Genetic Algorithm

被引:0
|
作者
Zhang, Beibei [1 ]
Zhu, Li [1 ]
Li, Yanli [1 ]
机构
[1] China Univ Geosci, Sch Comp, Wuhan 430074, Peoples R China
关键词
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
A genetic algorithm is an efficiently search algorithm, that get a tremendous value in the application of data mining, such as classification, clustering, data preprocessing and data handling process. Because traditional genetic algorithm exist the weakness which are the premature constringency, the slow speed of evening constringency and the weak power of overall situation searches which is caused by the deficient multiplicity of colony. The paper propose the improvement algorithm of genetic algorithm, niche([1]) genetic algorithm research the classification. Experimental results show that the niche genetic algorithm is better than the traditional genetic algorithm.
引用
收藏
页码:197 / 199
页数:3
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