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基于ACO的智能旅游景区路线规划系统设计 被引量:2

INTELLIGENT TOURISM ROUTE PLANNING SYSTEM BASED ON ANT COLONY OPTIMIZATION
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摘要 针对目前旅游景区路线系统因景点数量多、景点间差异度大而导致线路规划不合理等问题,对路线规划算法和实现方案进行研究,并提出了交互式智能旅游路线规划系统的解决方案。通过研究ACO蚁群优化算法(Ant Colony Optimization)、百度地图API接口、Bootsrap等技术,改进ACO算法模型,引入流式栅格布局,架构了基于B/S架构的系统平台。实验结果表明,基于改进的ACO和百度地图所架构的路线规划系统在国内大规模景点规划方面具有规划速度快、规划结果合理、信息显示全面等优点。 The tourism route planning systems are often unreasonable because of a large number of scenic spots and large differences among them. Base on the research about route planning algorithms and their implementation schemes, we proposed a solution of interactive intelligent tourism route planning system. Furthermore, we construct a platform of tourism route planning system on Browser/Server architecture, which is blended several technologies, such as Ant Colony Optimization algorithm, Baidu map API interface and Bootsrap. In addition, we also improved AC Optimization algorithm model and introduced flow grid layout. The experiment and analysis show that the system makes the route planning more reasonable and scientific because Baidu map can provide wider coverage areas, more comprehensive information and higher speed of loading.
出处 《井冈山大学学报(自然科学版)》 2015年第1期8-13,共6页 Journal of Jinggangshan University (Natural Science)
基金 国家十二五计划重大科技支撑项目(2012BAC11B01-04)
关键词 ACO算法 旅游路线规划 交互式系统 百度地图 Ant Colony Optimization algorithm tourism route planning interactive system Baidu map
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