Study of Intellectual Auto-generating Test-paper based on Adaptive Genetic Algorithm

	Study of Intellectual Auto-generating Test-paper based on Adaptive Genetic Algorithm
	Mao, Haijie 1,2; Feng, Xiaolin 1,2; Li, Wei 1,2; Chen, Hui 1,2
	2011
关键词	auto-generating test paper adaptive genetic algorithm crossover probability mutation probability
页码	5-8
英文摘要	In view of the present problems in the system of low success rate, the long-term test paper, and the test generation can not meet measurement requirements of education, improved algorithm was proposed. First, a mathematical model for test papers was established according to the performance of test papers. And then, the adaptive genetic algorithm was studied on the analysis of the reasons for premature and local optimal. In the method, the crossover probability and mutation probability were changed from fixed values into the variables with formula under different conditions. The experimental results showed the effectiveness of the proposed algorithm.
会议录	ICFCSE 2011: 2011 INTERNATIONAL CONFERENCE ON FUTURE COMPUTER SUPPORTED EDUCATION, VOL 2
会议录出版者	INFORMATION ENGINEERING RESEARCH INST, USA
会议录出版地	100 CONTINENTAL DR, NEWARK, DE 19713 USA
语种	中文
WOS研究方向	Computer Science
WOS记录号	WOS:000391345100002
内容类型	会议论文
源URL	[http://119.78.100.223/handle/2XXMBERH/37504]
专题	电气工程与信息工程学院
通讯作者	Mao, Haijie
作者单位	1.Lanzhou Univ Technol, Coll Elect & Informat Engn, Lanzhou, Gansu, Peoples R China 2.Key Lab Gansu Adv Control Ind Proc, Lanzhou, Gansu, Peoples R China
推荐引用方式 GB/T 7714	Mao, Haijie,Feng, Xiaolin,Li, Wei,et al. Study of Intellectual Auto-generating Test-paper based on Adaptive Genetic Algorithm[C]. 见:.