Abstract
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.
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References
Yang, Q.: Research on Problem of Item Bank Auto-Composing Test Paper Based on Genetic Algorithm. Journal of University of Jinan (Science and Technology) 18(3), 228–231 (2004)
Chen, X., Wang, H.: A exam-paper generating algorithm based on improved genetic algorithm. Journal of Harbin Institute of Technology 37(9), 1174–1176 (2005)
Zhou, H.: Application of Intelligent Auto-generating Test Papers Based on GA. Journal of Zhejiang Normal University(Natural Sciences) 26(4), 374–378 (2003)
Quan, H., Fan, G., Zhao, T.: A Test Paper-Autogenerating System Based on Genetic Algorithm. Journal of Wuhan University (Natural Sciences) 45(5), 758–760 (1999)
Hua, R., Wang, J., Zheng, Q., Xu, Y.: A Method Study Based on Constraint Satisfaction for Intelligent Composing Test Papers with Its Application. Application Research of Computers 11, 20–22 (2000)
Wei, G.: An Improved Fast-Convergent Genetic Algorithm and Its Performance Study. Systems Engineering and Electronics 25(11), 1428–1430 (2003)
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© 2011 Springer-Verlag Berlin Heidelberg
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Fang, Z., Na, L., Jinhui, L. (2011). Application Research of the Genetic Algorithm on the Intelligent Test Paper Composition of Examination Database. In: Zhang, J. (eds) Applied Informatics and Communication. ICAIC 2011. Communications in Computer and Information Science, vol 227. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23226-8_58
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DOI: https://doi.org/10.1007/978-3-642-23226-8_58
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-23225-1
Online ISBN: 978-3-642-23226-8
eBook Packages: Computer ScienceComputer Science (R0)