| 基于改进遗传算法的组卷策略与实现 |
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| 引用本文： | 于晓强,刘柏,谢益武. 基于改进遗传算法的组卷策略与实现[J]. 微电子学与计算机, 2006, 23(12): 189-191 |
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| 作者姓名： | 于晓强 刘柏 谢益武 |
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| 作者单位： | 1. 大连轻工业学院,辽宁,大连,116034
2. 大连海事大学,辽宁,大连,116026 |
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| 摘 要： | 为了更好地解决组卷质量和组卷速度之间的矛盾，文章提出了一种基于改进遗传算法的组卷策略．对遗传算法的个体编码、初始种群、杂交运算进行改进。实验结果表明，该算法提高了组卷速度，具有较好的实用性。
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| 关 键 词： | 题库 遗传算法 组卷 约束优化 专家系统 |
| 文章编号： | 1000-7180（2006）12-0189-03 |
| 收稿时间： | 2005-11-12 |
| 修稿时间： | 2005-11-12 |
Strategy and Realization of Auto_generating Paper Based on Ameliorated Genetic Algorithm |
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| YU Xiao-qiang,LIU Bai,XIE Yi-wu. Strategy and Realization of Auto_generating Paper Based on Ameliorated Genetic Algorithm[J]. Microelectronics & Computer, 2006, 23(12): 189-191 |
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| Authors: | YU Xiao-qiang LIU Bai XIE Yi-wu |
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| Affiliation: | 1 Dalian Institute of Light industry, Dalian 116034, China;2 Dalian Maritime University, Dalian 116026, China |
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| Abstract: | In order to handle the contradiction between quality and speed of auto_generating paper, a new algorithm based on ameliorated genetic algorithm in the thesis. It ameliorates individual coding, original population and crossover. The experiences show the algorithm improves the speed of auto_generating paper, and has better practicability. |
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| Keywords: | Item bank Genetic algorithm Auto_generating paper Constrained optimization Exert system |
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