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计算机系统应用英文版:2021,30(4):204-209
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改进和声搜索算法的英语考试智能组卷策略
(西安培华学院 人文与国际教育学院, 西安 710125)
Intelligent Test Paper Generating Strategy Based on Improved Harmony Search Algorithm
(College of Humanities and International Education, Xi’an Peihua University, Xi’an 710125, China)
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Received:August 06, 2020    Revised:September 03, 2020
中文摘要: 为提升英语考试智能组卷成功率和组卷质量, 提出基于改进和声搜索算法的英语考试智能组卷策略. 首先建立英语考试智能组卷的目标优化函数, 然后采用和声搜索算法对英语考试智能组卷的目标优化函数进行求解, 并针对采用声搜索算法的不足进行相应的改进, 最后进行了与英语考试智能组卷的应用实例分析. 结果表明, 改进和声搜索算法的英语考试智能组卷成功率高, 而且组卷质量好, 同时获得比其它英语考试智能组卷策略更优的结果, 具有明显的优越性.
Abstract:This study proposes a strategy based on an improved harmony search algorithm to improve the success rate and quality of intelligent test paper generation in English tests. The objective optimization function of intelligent test paper generation is established and then solved by the harmony search algorithm. After that, the harmony search algorithm is improved. Finally, an example for intelligent test paper generation is analyzed. The results indicate that the improved algorithm achieves a high success rate and good quality of intelligent test paper generation. Additionally, the proposed strategy outperforms its counterparts.
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基金项目:西安培华学院2019年度校级课堂教学模式创新专项(PHJM1904)
引用文本:
霍小静.改进和声搜索算法的英语考试智能组卷策略.计算机系统应用,2021,30(4):204-209
HUO Xiao-Jing.Intelligent Test Paper Generating Strategy Based on Improved Harmony Search Algorithm.COMPUTER SYSTEMS APPLICATIONS,2021,30(4):204-209