| 模糊蚁群优化算法在交通导航系统中的应用 |
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| 引用本文： | 李瑞华,李霞.模糊蚁群优化算法在交通导航系统中的应用[J].太原科技大学学报,2011,32(5):347-351. |
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| 作者姓名： | 李瑞华 李霞 |
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| 作者单位： | 1. 阳泉师范高等专科学校,山西阳泉,045200
2. 河北省石家庄经济学院信息工程学院,石家庄,050031 |
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| 摘 要： | 为了能处理交通导航系统中的模糊信息,并且能快速的综合多种信息求解最优导航路径,将模糊逻辑推理技术与改进的蚁群算法相结合提出了一种新的算法——模糊蚁群混合优化算法。实验表明,该算法不仅能够处理导航系统中的各种模糊信息,并且能利用改进的蚁群算法快速求解最优导航路径。
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| 关 键 词： | 模糊逻辑推理系统 蚁群算法 模糊蚁群混合算法 交通导航系统 |
The Application of Fuzzy Ant Colony Optimization Algorithm in the Transportation Navigation System |
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| LI Rui-hua,LI Xia.The Application of Fuzzy Ant Colony Optimization Algorithm in the Transportation Navigation System[J].Journal of Taiyuan University of Science and Technology,2011,32(5):347-351. |
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| Authors: | LI Rui-hua LI Xia |
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| Institution: | LI Rui-hua1,LI Xia2(1.Yang Quan Teachers College,Shanxi Yangquan 045200,China,2.School of Information Engneering,Shijiazhuang Economics College,Shijiazhuang 050031,China) |
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| Abstract: | Fuzzy Ant Colony Optimization Algorithm（FACOA）as a new optimal algorithm is proposed to handle fuzzy information in the transportation navigation system,such as traffic flow,road weather and so on,and to obtain the optimal navigation path quickly by integrating multiple information.It integrates fuzzy logical reasoning technology and Ant Colony Algorithm.Experimental results indicate that FACOA can handle a variety of fuzzy information in transportation navigation system,and the improved Ant Colony Algorithm can be used to get the optimal navigation path. |
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| Keywords: | Fuzzy Logical Reasoning System Ant Colony Algorithm Fuzzy Ant Colony Optimization Algorithm Transportation Navigation System |
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