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蚁群算法在路线规划中的应用及其系统实现

The Application and Realization of Ant Colony Algorithm in Route Planning
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摘要 作为新时代最为朝气蓬勃的产业之一,中国的旅游业在短短的几十年里发生了翻天覆地的变化。但不难发现,网络上主流的旅游网站多以酒店、机票预订为主,少有网站为用户提供旅游决策的辅助功能,这使得人们在出行时常常无法快速便捷地了解当下的旅游热点,无法提供适宜的旅游出行方案。随着信息技术、互联网技术和计算机技术的蓬勃发展,WebGIS正走入人们的生活中,逐渐成为Web应用关注的话题,网络地理信息系统也正成为大众化的信息工具。因此,建立了基于WebGIS的旅游信息决策系统,将从地理信息系统的角度入手,基于蚁群算法进行信息优化,利用WebGIS实现旅游空间信息的查询、分析等功能,并为用户提供智能的旅游路线规划。 As one of the most vigorous industries in the new era,China’s tourism industry has undergone changes in just a few decades.However,it is not difficult to find that the mainstream travel website on the network are hotels and air ticket booking as the core.Few websites provide users with the auxiliary function of travel decision.This makes it difficult for people to quickly and conveniently understand the current tourism hotspots and provide appropriate travel plans.With the rapid development of information technology,Internet technology and computer technology,WebGIS is entering people’s life and gradually becoming a topic of concern for Web applications.Network geographic information system is also becoming a popular information tool.Therefore,this paper establishes a tourism information decision system based on WebGIS,which will start from the perspective of geographic information system and carry out information optimization based on ant colony algorithm.It uses WebGIS to realize the function of query and analysis of tourism spatial information and provide users with intelligent travel route planning.
作者 陈清彬 吴勇 CHEN Qing-bin;WU Yong(School of Geographical Sciences,Fujian Normal University,Fuzhou 350007,Fujian;Fujian Provincial Engineering Research Center for Forest Carbon Metering,Fujian Normal University,Fuzhou 350007,Fujian)
出处 《电脑与电信》 2020年第5期36-40,共5页 Computer & Telecommunication
基金 福建师范大学2020年大学生创新创业训练计划项目资助,项目编号:cxxl-2020222。
关键词 WEBGIS 旅游 蚁群算法 Vue ArcGIS Server WebGIS tourism ant colony optimization Vue ArcGIS Server
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