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一种基于粒子群优化的组卷算法
A Generating Test Paper Algorithm Based on Particle Swarm Optimization
【摘要】 为实时分析学生在学习中存在的问题,准确评价学生在一段时间内的学习成绩,建立一种整数规则组卷的数学模型,并采用二进制编码的粒子群算法实现。通过应用该模型组成满足多个评估标准的一系列试卷,全面提高了应用大型试题库组卷的工作效率。
【Abstract】 In order to duly analyze problems of students’ learning and accurately evaluate the learning achievement of students during a period of time,a mathematical model of generating test paper based on integer programming is presented in this paper,which is realized by an algorithm of particle swarm optimization with binary code.With the application of the model to generate a series of paper that meet various evaluation criteria,it is shown that the work efficiency of generating test paper in large-scale item bank is wholly improved.
【关键词】 人工智能;
+++组卷;
粒子群;
【Key words】 Artificial intelligence; +++Generating sheets; Particle swarm optimization;
【Key words】 Artificial intelligence; +++Generating sheets; Particle swarm optimization;
【基金】 齐齐哈尔市科学技术计划项目《自适应题库建设与智能组卷系统的研究》(GY05-16)
- 【文献出处】 兵工自动化 ,Ordnance Industry Automation , 编辑部邮箱 ,2009年02期
- 【分类号】TP182
- 【被引频次】6
- 【下载频次】125