Intelligent composing test papers based on analytic hierarchy process and artificial fish swarm algorithm
基于层次分析方法与人工鱼群算法的智能组卷*

In view of the shortcomings that satisfy the examination requirements of the existing methods in the intelligent composing test papers, designed a new method based on the analytic hierarchy process and the artificial fish swarm algorithm. Firstly, according to the demands for the test such as the total score, the examination time, the scores of the chapters, the scores of the knowledge points, the scores of the title types, the scores of the ability-levels, the difficult degree and the distinguish degree, constructed a multi-constrained multi-objective programming model of the intelligent composing test papers. Secondly, put the analytic hierarchy process to use in order to work out the weights of all the test objectives. Thirdly, by the linear weighted sum, turned the multi-objective programming model into the single-objective programming model. Finally, with the help of the improved artificial fish swarm algorithm, formed the optimal test paper. The method applied to the composition of a single set of test paper and multiple sets of ones. At the same time, discussed the advantages, shortcomings and development trends of the method.