摘要
随着人民需求的日益增长,出外旅游成了生活的一部分。但是如何规划旅游线路节省时间使路径最短是论文考虑的问题。文章利用matlab软件通过蚁群算法对西安著名的16个景点进行了路径规划,实例证明,蚁群算法在解决路径优化这类问题是相对有效的。
With the increasing demand of the people,traveling abroad has become a part of life.But how to plan the travel route to save time and make the route shortest is the issue considered by the thesis.The article uses matlab software to carry out path planning on 16 famous scenic spots in Xi'an through ant colony algorithm.The example proves that the ant colony algorithm is relatively effective in solving such problems as path optimization.
作者
李梦丹
LI Meng-dan(School of Textile and Materials,Xi'an Polytechnic University,Xi'an 710048,China)
出处
《价值工程》
2020年第20期136-137,共2页
Value Engineering
基金
陕西省教育厅科研计划项目资助(17JK0321)
中国纺织工业联合会项目资助(2017100)。
