基于蚁群算法的寿光市文化旅游路径优化研究  

Research on Optimization of Cultural Tourism Path in Shouguang Based on Ant Colony Algorithm

作　　者：周生超[1] ZHOU Sheng-chao(Weifang University of Science and Technology,School of Business Technology,Shouguang Shandong 262700)

机构地区：[1]潍坊科技学院商务技术学院,山东寿光262700

出　　处：《潍坊工程职业学院学报》2021年第3期100-103,共4页Journal of Weifang Engineering Vocational College

基　　金：潍坊科技学院2018年度哲学社会科学(乡村振兴与区域经济)基金项目(2018WKRQZ004-3)。

摘　　要：优化景区路径可以提高游客旅游效率,较好满足游客旅游需要。利用MATLAB软件通过蚁群算法对寿光市10个具有代表性的文化旅游景点进行路径优化,实例表明,蚁群算法能较好解决路径优化问题。Optimizing the route of scenic spots can improve the efficiency of tourists and better meet the needs of tourists. This paper uses MATLAB software to optimize the path of 10 representative cultural tourist attractions in Shouguang City through ant colony algorithm. The example shows that ant colony algorithm can better solve the problem of path optimization.

关 键 词：蚁群算法 文化旅游 寿光 

分 类 号：F591.99[经济管理—旅游管理]