| 郝标,谭云兰,王伟年,贾金原.基于ACO的智能旅游景区路线规划系统设计[J].井冈山大学自然版,2015,(1):8-13 |
| 基于ACO的智能旅游景区路线规划系统设计 |
| INTELLIGENT TOURISM ROUTE PLANNING SYSTEM BASED ON ANT COLONY OPTIMIZATION |
| 投稿时间：2014-09-21 修订日期：2014-12-28 |
| DOI：10.3969/j.issn.1674-8085.2015.01.002 |
| 中文关键词: ACO算法 旅游路线规划 交互式系统 百度地图 |
| 英文关键词: Ant Colony Optimization algorithm tourism route planning interactive system Baidu map |
| 基金项目:国家十二五计划重大科技支撑项目(2012BAC11B01-04) |
|
| 摘要点击次数: 10826 |
| 全文下载次数: 21828 |
| 中文摘要: |
| 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。 |
| 英文摘要: |
| 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. |
|
查看全文
查看/发表评论 下载PDF阅读器 |
| 关闭 |
|
|
|
