| 基于变长编码遗传算法的K-匿名化 |
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| 引用本文： | 王莉,宫照煊.基于变长编码遗传算法的K-匿名化[J].计算机工程,2011,37(2):163-165. |
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| 作者姓名： | 王莉 宫照煊 |
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| 作者单位： | 辽宁科技大学电子与信息工程学院计算机工程系,辽宁,鞍山,114051 |
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| 基金项目： | 辽宁省自然科学基金资助项目(20082189) |
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| 摘 要： | 针对传统遗传编码存在求解效率低且信息失真大的问题，提出一种基于不定长密歇根编码的遗传算法，采用多种启发式策略进行杂交操作，将基于遗传算法的聚类方法应用到K-匿名化问题中。实验结果表明，该方法可以更好地降低信息失真，从而实现K-匿名化问题。
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| 关 键 词： | K-匿名化 遗传算法 信息失真 |
K-anonymization Based on Genetic Algorithm of Variable Length Encoding |
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| WANG Li,GONG Zhao-xuan.K-anonymization Based on Genetic Algorithm of Variable Length Encoding[J].Computer Engineering,2011,37(2):163-165. |
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| Authors: | WANG Li GONG Zhao-xuan |
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| Affiliation: | WANG Li,GONG Zhao-xuan(Department of Computer Engineering,School of Electronic and Information Engineering,University of Science and Technology Liaoning,Anshan 114051,China) |
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| Abstract: | Aiming at the problems that raditional genetic encoding has low efficiency and large information loss,this paper proposes a michigan-based variable-length coding Genetic Algorithm(GA),which adopts various heuristic strategies to select genes for crossover operation.It is applied to the problem of K-anonymization.Experimental results show this method can further reduce the information loss and it is a new way to solve the problem of K-anonymization. |
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| Keywords: | K-anonymization Genetic Algorithm(GA) information distortion |
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