| 基于遗传算法的二部图判定算法 |
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| 引用本文： | 李小强,张宁.基于遗传算法的二部图判定算法[J].上海理工大学学报,2010,32(5). |
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| 作者姓名： | 李小强 张宁 |
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| 作者单位： | 上海理工大学管理学院; |
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| 基金项目： | 上海市重点学科建设资助项目，上海市研究生创新基金资助项目 |
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| 摘 要： | 应用遗传算法来判定二部图的具体过程是首先将无向图G的节点随机分配到两个不同社区中,然后用遗传算法进行进化操作,优化无向图G的模块化函数Q,当Q取最小值且无向图G的边只存在于两个社区之间,则无向图G为二部图.实例分析结果验证了算法的有效性.
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| 关 键 词： | 图论 复杂网络 二部图 遗传算法 模块化函数 |
Bipartite graph identification using genetic algorithm |
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| LI Xiao qiang and ZHANG Ning.Bipartite graph identification using genetic algorithm[J].Journal of University of Shanghai For Science and Technology,2010,32(5). |
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| Authors: | LI Xiao qiang and ZHANG Ning |
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| Institution: | LI Xiao-qiang,ZHANG Ning(Business School,University of Shanghai for Science and Technology,Shanghai 200093,China) |
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| Abstract: | In order to reduce the time complexity,genetic algorithm was used to identify bipartite graphs.The nodes of graph G were allocated into two communities randomly;and then genetic algorithm was taken to optimize the modularity function Q.When obtaining the minimum value of Q and sitting all the edges between the two communities,graph G is a bipartite graph.Its accuracy was tested with an example. |
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| Keywords: | graph theory complex networks bipartite graph genetic algorithm modularity function |
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