Research Article
Research on Intelligent Test Paper Based on Improved Genetic Algorithm
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@INPROCEEDINGS{10.1007/978-3-319-73317-3_21, author={Ruitao Nan and Jingmei Li}, title={Research on Intelligent Test Paper Based on Improved Genetic Algorithm}, proceedings={Advanced Hybrid Information Processing. First International Conference, ADHIP 2017, Harbin, China, July 17--18, 2017, Proceedings}, proceedings_a={ADHIP}, year={2018}, month={2}, keywords={Restrictions Intelligent test paper Genetic algorithm Convergence speed}, doi={10.1007/978-3-319-73317-3_21} }
- Ruitao Nan
Jingmei Li
Year: 2018
Research on Intelligent Test Paper Based on Improved Genetic Algorithm
ADHIP
Springer
DOI: 10.1007/978-3-319-73317-3_21
Abstract
At present, under the current quality education, the examination is still one of the main measure of teachers’ teaching ability and student achievement. At the same time, different levels of examination are different to the test paper. Aiming at the multi-combination of constraints in the test paper, an improved genetic algorithm is proposed, which combines the constraints of the papers effectively, so that the test papers can be maximized to meet the needs of the users.
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