基于教与学优化算法的智能旅游线路优化

Design of intelligent travel itinerary based on the improved teaching-learning algorithm

根据旅游线路设计的原则及游客的需求特征,对教与学优化算法进行改进,建立了基于改进的教与学优化算法的旅游线路优化方法。通过对汉中地区旅行线路优化测试表明,运用该算法设计的旅游线路具有一定的可行性和高效性,对旅游交通规划、旅游线路设计,特别是对自驾游旅游者开展高效率的旅游活动具有一定的实用价值。

This paper proposes an improved teaching-learning-based optimization （ITLBO） to solve tourist itinerary optimization problems. Firstly, the model of minimum time route and the model of minimum budget route are presented. Then, basic TLBO method is introduced and ITLBO algorithm is proposed. Finally, simulation experiments are carried out on the scenic spots of Hanzhong city in China.