Research on Intelligent Test Paper Based on Improved Genetic Algorithm

Ruitao Nan; Jingmei Li

Advanced Hybrid Information Processing. First International Conference, ADHIP 2017, Harbin, China, July 17–18, 2017, Proceedings

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

Ruitao Nan¹^,*, Jingmei Li¹^,*

1: Harbin Engineering University

*Contact email: nanruitao@hrbeu.edu.cn, lijingmei@hrbeu.edu.cn

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.

Keywords: Restrictions Intelligent test paper Genetic algorithm Convergence speed

Published: 2018-02-09
Appears in: SpringerLink

: http://dx.doi.org/10.1007/978-3-319-73317-3_21

Research on Intelligent Test Paper Based on Improved Genetic Algorithm

Abstract

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