Research on Tourism Rural Itinerary based on MATLB Ant Colony Algorithm

摘要：

　　On the basis of the basic principle and the improved theory, the paper makes a deep study on how to improve the ability of ACA, and then a new improved algorithm is put forward. The new algorithm make ant recognize the optimum path in short time adjusting the pheromone updating rule. Besides, the evaporation factor is instead by the pheromone volatile function, to insure the balance between “exploitation and “exploration, avoiding the algorithm into the stagnation. The simulation results of the typical travelling salesman problems (TSP) show that the improved algorithm has better performance.

关键词： touring route rural itinerary in tourism itinerary optimization MATLAB

作者: Wan Shujia

作者单位: Tourism collage, Northwest Normal University, Lanzhou, Gansu, China

会议类型: 国际会议

会议名称: 2019 6th International Conference on Machinery, Mechanics, Materials and Computer Engineering (MMMCE 2019)(2019 第六届机械、材料和计算机工程国际会议)

会议地点: 呼和浩特

会议语种:英文

页码: 300-304

在线出版日期: 2019-07-27（万方平台首次上网日期，不代表论文的发表时间）