School of Information Science and Technology, Shijiazhuang Tiedao University, Shijiazhuang050043, China

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Abstract—Traditional method of test paper generation is time-consuming, low efficient and low success. In order to improve the success rate of test paper, the paper puts forward an ant colony algorithm of automatic sets method. First, a mathematical model of constraint is built according to the requires of papers, and by using the ant colony algorithm, the optimal solution of grouping is obtained. Simulation results show that, compared with the traditional sets algorithm, the ant colony algorithm improves the efficiency of grouping, increase rate of grouping, and satisfies the current network on-line examination system of real-time higher requirements of grouping.

Index Terms—Test paper generation, ant colony algorithm, mathematical model.

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Cite: Dan Liu, Jianmin Wang, Lijuan Zheng, "Automatic Test Paper Generation Based on Ant Colony Algorithm," Journal of Software vol. 8, no. 10, pp. 2600-2606, 2013.