一种单向动机迭代改进旅游路线规划算法

One-Way Motivation Iterative Improvement Algorithm for Tourism Route Planning

以目前旅游者自主规划或被动获取旅游路线存在主观性强和不能获得动机利益满足的问题,提出一种单向动机迭代改进旅游路线规划算法.首先对城市景点构建特征编码集模型以随机选取兴趣景点,在此基础上构建融合旅游动机影响因子算法的改进最优路线规划算法输出动机迭代值最优和次优的旅游路线.仿真算例迭代计算证明,本文所提算法继承传统路径规划算法优势,同时迭代输出能够满足旅游者最大动机利益的优化路径,为智能规划旅游路线提供了性能良好的算法.

Aim at the current problem that tourists have strong subjectivity and they can＇t get the benefit satisfaction of the motivation when they independently plan or passively obtain the tourism route,oneway motivation iterative improvement algorithm for tourism route planning was put forward.Firstly,city scenic spot feature code model was set up to select interested scenic spots randomly.On the basis of setting up city scenic spot feature model,improved optimal route planning algorithm blended with tourism motivation impact factors algorithm was put forward to output optimal and suboptimal routes of motivational iterative value.Simulation example of iterative computation testifies that the algorithm put forward inherits the advantages of traditional route planning algorithm,and meanwhile,it can output optimal routes to satisfy tourist best motive benefits,which provides high performance algorithm for wisdom tourism planning.