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基于蚁群算法的黄河金三角旅游路线规划研究 被引量:4

Research on tourist route planning of the Yellow River Golden Triangle based on ant colony algorithm
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摘要 选择一条合适的旅游路线对于旅游者非常重要。蚁群算法运用到黄河金三角旅游路线的规划中,选取黄河金三角的11个景点,把选取的景点转换为经纬度,然后用蚁群算法进行路径优化。通过对蚁群算法的参数的调整和算法的改进,用Matlab进行仿真实验,并进行了仿真分析,结果表明,蚁群算法能很快收敛并得到最优路径。 Choosing a suitable tourist route is very important for tourists.In this paper,ant colony algorithm is applied to the planning of the Yellow River Golden Triangle tourist route,11scenic spots in the Yellow River Golden Triangle are selected,and the selected scenic spots are converted into latitude and longitude,then the ant colony algorithm is used for path optimization.Through the adjustment of the parameters of ant colony algorithm and the improvement of the algorithm,simulation experiment is carried out with MATLAB,and the simulation analysis is carried out.The results show that the ant colony algorithm can converge quickly and get the optimal route.
作者 杨晓敏 Yang Xiaomin(School of Mathematics and Information Technology, Yuncheng University, Yuncheng, Shanxi 044000, China)
出处 《计算机时代》 2018年第12期61-63,共3页 Computer Era
基金 运城学院协同创新项目(CL2015016)
关键词 旅游路线 路径优化 蚁群算法 MATLAB tourist route path optimization ant colony algorithm MATLAB
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