| 蚁群优化算法基本原理及其应用 |
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| 引用本文： | 刘小梅,张君静. 蚁群优化算法基本原理及其应用[J]. 西部探矿工程, 2008, 20(10) |
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| 作者姓名： | 刘小梅 张君静 |
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| 作者单位： | 郑州大学环境与水利学院,河南,郑州,450002;河南省道路检测工程技术研究中心,河南,郑州,450002 |
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| 摘 要： | 蚁群优化算法是一种快速元启发式优化算法.该算法是受到真实的蚁群行为的启发而提出的.该算法采用分布式并行计算机制,易与其他方法想结合,具有较强的鲁棒性.先介绍蚁群算法基,本原理,然后介绍蚁群算法在各领域的发展应用,最后讨论蚁群算法的可能拓展领域.
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| 关 键 词： | 蚁群算法 组合优化 信息素 |
The Principle of Ant Colony Optimization Algorithm and Its Application |
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| LIU Xiao-mei,ZHANG Jun-jing. The Principle of Ant Colony Optimization Algorithm and Its Application[J]. West-china Exploration Engineering, 2008, 20(10) |
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| Authors: | LIU Xiao-mei ZHANG Jun-jing |
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| Affiliation: | 1.School of Water Conservancy and Environment Engineering;Zhengzhou University;Zhengzhou Henan 450002;China;2.Henan Road Test Engineering and Technology Research Centre;China |
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| Abstract: | The ant colony optimization(ACO)algorithm is a fast sub-optimal meta-heuristic based on the behavior of a set of ants.Parallel computation mechanism is adopted in this algorithm.Ant colony algorithm has strong robustness and is easy to combine with other methods in optimization.Firstly,the basic principle of ant colony algorithm is introduced,then the application of the ACO are provided.Finally,the potential domains that ACO may be used are discussed. |
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| Keywords: | ant colony algorithm combinational optimization pheromone |
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