Title :
The Research and Implementation of Technology of Generating Test Paper Based on Genetic Algorithm
Author :
Shao Ming-Zhu ; Li Wei-Feng ; Du Jing-Yi
Author_Institution :
Dept. o f Comput. Sci., Henan Mech. & Electr. Eng. Coll., Xinxiang, China
Abstract :
Automatic test paper generation is an important part of examination system. How to improve the test paper generating algorithm and the quality of test paper generating has become an important issue at present. Based on the researches on code tactic, adaptive function, controlling parameters, an improved genetic algorithm is used in the paper. Experiment shows that the improved genetic algorithm could compose test paper more efficiently than traditional algorithms.
Keywords :
automatic test pattern generation; educational technology; genetic algorithms; adaptive function; automatic test paper generation; code tactic; controlling parameters; examination system; genetic algorithm; Multimedia communication; Security; Algorithm of generating paper; Automatic test paper generation; Genetic Algorithm; Self-adaptive Genetic Algorithm;
Conference_Titel :
Multimedia Information Networking and Security (MINES), 2012 Fourth International Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4673-3093-0
DOI :
10.1109/MINES.2012.232