摘要
为给不同旅游价值取向的游客选择合理的旅游路线,选取福州市10个景点,将模糊评价引入遗传算法理论,建立了基于游客旅游价值模糊综合评判模型和遗传算法的旅游线路优化算法,对旅游线路进行了优化.仿真实验表明,优化后的线路路径短,用时少,能满足游客对不同景点性质的偏好,验证了优化算法的有效性.
This article studies the choice of tourist routes of 10 scenic spots in Fuzhou and introduces the fuzzy evaluation into the theory of genetic algorithm, thus the tourism line optimization algorithm based on the fuzzy comprehensive evaluation model and genetic algorithm is established, and the tourist routes are optimized. The simulation results show that the optimized route is shorter, satisfies the tourists' preference for different scenic spots, and verifies the effectiveness of the optimization algorithm.
作者
俞超群
YU Chao-qun(Department of Basic Education Yango University,Fuzhou,Fujian 350015,China)
出处
《宁德师范学院学报(自然科学版)》
2018年第2期171-175,181,共6页
Journal of Ningde Normal University(Natural Science)
关键词
旅游线路
线路优化
模糊综合评判
遗传算法
福州市
touring route
routes optimization
fuzzy comprehensive evaluation
genetic algorithm
Fuzhou City