| 基于蚁群算法的非结构化P2P网络搜索的改进 |
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| 引用本文： | 詹晓亮,余强,熊健.基于蚁群算法的非结构化P2P网络搜索的改进[J].微型机与应用,2010,29(2). |
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| 作者姓名： | 詹晓亮 余强 熊健 |
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| 作者单位： | 西华大学数学与计算机学院,四川,成都,610039 |
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| 摘 要： | 针对非结构化的对等网络一般以广播方式作为其搜索的基本策略而引发较大的网络流量和盲目性这一问题,引入人工智能领域的蚁群算法,利用蚂蚁信息素的多样性和正反馈机制,有效地指导节点选择查询,以便更快地找到查询结果.仿真结果表明,该算法有效地减少了查询带来的网络流量和盲目性,提高了查找的成功率.
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| 关 键 词： | 对等网络 蚁群算法 信息素 非结构化P2P 查询 |
Improved searching algorithm for unstructured P2P network based on ant colony optimization |
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| ZHAN Xiao Liang,YU Qiang,XIONG Jian.Improved searching algorithm for unstructured P2P network based on ant colony optimization[J].Microcomputer & its Applications,2010,29(2). |
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| Authors: | ZHAN Xiao Liang YU Qiang XIONG Jian |
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| Abstract: | Ant colony optimization(ACO)in artificial intelligence is introduced,This mechanism directs the query muting effectively according to the diversity and the positive feedback principle of the ant pheromone.In the way the peer reduced the blind search..Simulation results show that the new algorithm reduces the network tragic and blindness greatly and improves the searching success ratio. |
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| Keywords: | peer-to-peer network ant colony optimization algorithms pheromone unstructured P2P query |
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