| 蚁群聚类组合方法参数M的研究 |
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| 引用本文： | 韩强,邢洁清.蚁群聚类组合方法参数M的研究[J].数字社区&智能家居,2009(36). |
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| 作者姓名： | 韩强 邢洁清 |
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| 作者单位： | 琼台师范高等专科学校信息技术系; |
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| 基金项目： | 琼台师范高等专科学校科研项目(qtky2009-20) |
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| 摘 要： | 蚁群算法中参数在不同取值情况下,常常会对算法的性能和求解效率产生重大影响。该文在基于蚁群聚类组合方法的研究基础上,重点研究了蚁群聚类组合方法KMAOC算法中蚁群算法参数蚂蚁数m对KMAOC算法性能的影响,对KMAOC算法中的参数蚂蚁数m分别取值进行实验,通过几组实验验证提供了KMAOC算法中参数蚂蚁数m配置的较好建议。
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| 关 键 词： | 聚类 蚁群算法 信息素 聚类组合 |
Research Combination Method of Parameter M Based on Ant Colony Clustering |
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| HAN Qiang,XING Jie-qing.Research Combination Method of Parameter M Based on Ant Colony Clustering[J].Digital Community & Smart Home,2009(36). |
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| Authors: | HAN Qiang XING Jie-qing |
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| Affiliation: | HAN Qiang,XING Jie-qing(Department of Modern Education Technology,Qiongtai Teachers College,Haikou 571100,China) |
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| Abstract: | The ant-based clustering parameter values in different circumstances,often will solve the performance and efficiency of the algorithm have a significant impact.In this paper,based on ant colony clustering combination method based on the study,focusing on the ant colony clustering algorithm combination method KMAOC ant colony algorithm parameters are the number of m pairs of KMAOC algorithm performance influence on the parameters of the algorithm KMAOC the number of ants m,respectively experimental values by... |
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| Keywords: | clustering ant colony algorithm pheromone clustering combination |
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