Aimed at the shortcomings of traditional test paper generation algorithm,such as long test paper generation time,poor test paper quality and low objectivity,this paper designs an intelligent test paper generation system based on genetic algo-rithm.Because the traditional genetic algorithm is prone to premature and slower convergence,this paper improves the genetic algorithm by using directional crossover,and improves the ability of the algorithm to find the optimal solution.The test results show that the test papers generated by the improved genetic algorithm meet the indexes of difficulty,discrimination,knowledge coverage and so on,and the efficiency of paper generation is also improved.
关键词
遗传算法/定向交叉/适应度函数/智能组卷/考试系统
Key words
genetic algorithm/directional crossing/fitness function/intelligent paper generation/examination system
维普
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