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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© 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)