近五年我国智慧旅游研究述评

智慧旅游是近年来旅游学界与业界的最热门话题。通过对近五年(2010年-2014年)有关文献的作者、工作单位、发表期刊、关键词等信息进行统计分析,发现国内智慧旅游研究主要集中在智慧旅游概念、框架构建、核心技术等方面,而智慧旅游中有关旅游产业转型升级等内容的研究却被忽视,学界与业界都必须予以高度关切。

3-D Path Planning for Autonomous Underwater Vehicle Based on the Improved Ant Colony Optimization Algorithm

Aiming at the complex seafloor environment,a 3-D path planning method for autonomous underwater vehicle based on the improved ant colony optimization(ACO)algorithm is proposed in this paper.Firstly it introduces the three-dimensional(3-D)spatial modeling method and the standard ACO algorithm,then by taking advantage of excellent characteristics of the ACO algorithm such as distributed computation mechanism,relatively strong robustness and information positive feedback,and improving the pheromone updating strategy and the heuristic function,a 3-D path planning method for autonomous underwater vehicle based on the improved ACO algorithm is proposed.Finally,several path planning experiments are tested on a 30km×30km seafloor region.The experimental results show that the proposed method in the paper can effectively overcome some defects of the standard ACO algorithm such as slow search speed and slow convergence speed,greatly improve the feasibility and effectiveness of path planning and realize the underwater vehicle path planning under the complex seafloor environment well.