Title :
Genetic Algorithm in Test Paper Generation System
Author :
Zhong, Ruo-wu ; Wang, Hui-ping
Author_Institution :
Inst. of Comput., Shaoguan Univ., Shaoguan, China
Abstract :
By analyzing the method of present generating test paper, the article represents a method of generating test paper based on genetic algorithm. A mathematical model for generating test paper is built. By putting forward the intercross operator and mutation operator in consistence with the independent coding, an automatic generation system for test paper is realized.
Keywords :
educational administrative data processing; genetic algorithms; mathematical operators; genetic algorithm; independent coding; intercross operator; mathematical model; mutation operator; test paper generation system; Biological system modeling; Computers; Encoding; Genetics; Optimization; Probability; Search methods;
Conference_Titel :
E-Product E-Service and E-Entertainment (ICEEE), 2010 International Conference on
Conference_Location :
Henan
Print_ISBN :
978-1-4244-7159-1
DOI :
10.1109/ICEEE.2010.5661190
