DocumentCode :
508986
Title :
Real-coded Genetic Algorithm and Application in the Automatic Composing the Test Paper
Author :
Yu-Fen, Wang ; Xiao-Juan, Guo
Author_Institution :
Sch. of Inf. Eng., Henan Inst. of Sci. & Technol., Xinxiang, China
Volume :
1
fYear :
2009
fDate :
21-22 Nov. 2009
Firstpage :
399
Lastpage :
402
Abstract :
The genetic algorithm is one kind of recent development parallel optimization algorithm, it suitable to solve the problem of automatic composing test paper. But binary-coded genetic algorithm has some disadvantages, such as lower operating speed, precocious convergence and so on. For these flaws, based on real-coded genetic algorithm has been put forward, and has been applied in the automatic composing test paper system of the computer basis, its performance is superior to binary-coded genetic algorithm.
Keywords :
computer aided instruction; genetic algorithms; automatic composing test paper system; parallel optimization; real-coded genetic algorithm; Automatic control; Automatic testing; Binary codes; Biological cells; Character generation; Education; Extraterrestrial phenomena; Genetic algorithms; Robot control; System testing; automatic composing test paper; genetic algorithm; real-coded;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Information Technology Application, 2009. IITA 2009. Third International Symposium on
Conference_Location :
Nanchang
Print_ISBN :
978-0-7695-3859-4
Type :
conf
DOI :
10.1109/IITA.2009.319
Filename :
5368953
Link To Document :
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