| 基于动态自适应技术遗传算法的智能组卷策略 |
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| 引用本文： | 张清富,倪子伟.基于动态自适应技术遗传算法的智能组卷策略[J].广东电脑与电讯,2009(7):42-44. |
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| 作者姓名： | 张清富 倪子伟 |
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| 作者单位： | 张清富,Zhang Qingfu(广东阳江市广播电视大学,广东,阳江,529500);倪子伟,Ni Ziwei(厦门大学计算机科学系,福建,厦门,361005) |
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| 摘 要： | 为克服经典遗传算法求解智能组卷时存在的盲目搜索、收敛速度慢和个体易"早熟"等缺点,文章提出了基于动态自适应技术遗传算法.利用求解问题的特征改进经典遗传算法的多个关键部分,采用动态自适应技术,提高算法的寻优速度.实验结果表明,采用改进式的自适应遗传算法实现的组卷策略具有收敛速度快、搜索精度高、鲁棒性强等特点,具有很好的性能与实用性.
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| 关 键 词： | 自适应遗传算法 题库 智能组卷策略 |
The Intelligent Strategy for Test Paper Composition Based on Auto-adapted Technology Genetic Algorithm |
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| Zhang Qingfu,Ni Ziwei.The Intelligent Strategy for Test Paper Composition Based on Auto-adapted Technology Genetic Algorithm[J].Computer & Telecommunication,2009(7):42-44. |
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| Authors: | Zhang Qingfu Ni Ziwei |
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| Affiliation: | 1.Guangdong Yangjiang RTVU;Yangjiang 529500;Guangdong;2.Fujian Xiamen universtiy;Xiamen 351006;Fujian |
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| Abstract: | In order to overcome the shortcomings of blind searching,the slow convergence rate and individual's easily precocious when using the classics genetic algorithm solution for the intelligent test paper composition,the article proposes genetic algorithm which is based on the dynamic auto-adapted technology,that is to use the characteristic of solution questions to improve many essential parts of the classic genetic algorithm and to use the dynamic auto-adapted technology to enhance the algorithm's speed for se... |
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| Keywords: | auto-adapted genetic algorithm examination database the intelligent strategy for test paper composition |
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