Design and Implementation of an Automatic Test Paper Generation System Based on ant colony optimization

DOI

10.2991/isrme-15.2015.256How to use a DOI?

Keywords

automatic test paper generation; ant colony optimization; item bank; data structure

Abstract

The paper proposed a model of automatic test paper generation system since the traditional test was time-consuming, labor-intensive and unstable. Based on the demand of the automatic test paper generation system the model explored the setting of the initial value information of the ant colony optimization and updated the rules so that the test results could he feed backed to the system. This model not only effectively solved the problem of the auto-generating test-paper but also improved the autonomous learning ability of the system, which was more intelligent to improve the performance. The practical test proves that the system has achieved the expected goal with high quality and high efficiency. The practical test shows that the system has advantages like fast generation of test papers, low repetition of the selected papers and elfective colony algorithm. Examinations designed based on this system an achieve the expected testing goals

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Yingjie Fu
PY  - 2015/04
DA  - 2015/04
TI  - Design and Implementation of an Automatic Test Paper Generation System Based on ant colony optimization
BT  - Proceedings of the 2015 International Conference on Intelligent Systems Research and Mechatronics Engineering
PB  - Atlantis Press
SP  - 1266
EP  - 1270
SN  - 1951-6851
UR  - https://doi.org/10.2991/isrme-15.2015.256
DO  - 10.2991/isrme-15.2015.256
ID  - Fu2015/04
ER  -