| 基于群体智能的蚁群算法研究 |
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| 引用本文： | 凌海峰,杨善林,刘业政.基于群体智能的蚁群算法研究[J].合肥工业大学学报(自然科学版),2005,28(6):682-685. |
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| 作者姓名： | 凌海峰 杨善林 刘业政 |
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| 作者单位： | 合肥工业大学,管理学院,安徽,合肥,230009;合肥工业大学,管理学院,安徽,合肥,230009;合肥工业大学,管理学院,安徽,合肥,230009 |
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| 摘 要： | 群体智能是指任何启发于群居性昆虫群体和其它动物群体的集体行为而设计的算法和分布式问题解决装置,群体智能现正在成为人工智能领域和相关领域的一个研究热点;该文首先介绍了群体智能中的两个重要算法:蚁群算法和粒子群算法的基本思想,然后重点探讨了蚁群优化算法,对基本蚁群算法和改进的蚁群算法进行了深入的分析和评述。
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| 关 键 词： | 群体智能 蚁群优化 状态转移规则 信息素更新规则 |
| 文章编号： | 1003-5060(2005)06-0682-04 |
| 修稿时间： | 2004年9月6日 |
Research on ant colony algorithm based on swarm intelligence |
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| LING Hai-feng,YANG Shan-lin,LIU Ye-zheng.Research on ant colony algorithm based on swarm intelligence[J].Journal of Hefei University of Technology(Natural Science),2005,28(6):682-685. |
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| Authors: | LING Hai-feng YANG Shan-lin LIU Ye-zheng |
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| Abstract: | Swarm intelligence indicates any attempt to design algorithms or distributed problem-solving devices inspired by the collective behavior of social insect colonies and other animal societies. Swarm intelligence is becoming a hot domain in artificial intelligence and relevant fields. In this paper, the main ideas of ant colony algorithm and particle swarm optimization,which are two important algorithms in swarm intelligence,are introduced,and the ant colony algorithm is discussed in detail,including the basic ant colony algorithm and the improved ant colony algorithm. |
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| Keywords: | swarm intelligence ant colony optimization state transition rule pheromone updating rule |
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