Application Research of the Genetic Algorithm on the Intelligent Test Paper Composition of Examination Database

被引：0
|
作者：
Zhang Fang [1 ]
Li Na [1 ]
Li Jinhui [1 ]
机构：
[1] Shenyang Agr Univ, Coll Informat & Elect Engn, Shenyang, Peoples R China
来源：
2010 THE 3RD INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE AND INDUSTRIAL APPLICATION (PACIIA2010), VOL IV | 2010年
关键词：
Genetic Algorithm; intelligent test paper composition; Examination Database;
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：
this paper, we come up a new improved genetic algorithm (GA) which suitable to the issue of test paper composition after analyzing the common algorithm of test paper composition. Focuses on the design and realization of test paper composition model established, chromosome encoding method of test paper composition, adaptability function and genetic operator. Experimental results show that this improved genetic algorithm is a practical and effective test paper composition algorithm with high-performance and high-efficiency.
引用
收藏
页码：275 / 277
页数：3
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