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蚁群算法在路线规划中的应用及其系统实现
引用本文:陈清彬,吴勇.蚁群算法在路线规划中的应用及其系统实现[J].广东电脑与电讯,2020,1(5):36-40.
作者姓名:陈清彬  吴勇
作者单位:福建师范大学地理科学学院 福建师范大学福建省森林碳计量开发应用工程研究中心
摘    要:


TheApplication and Realization ofAnt ColonyAlgorithm in Route Planning
CHEN Qing-bin WU Yong.TheApplication and Realization ofAnt ColonyAlgorithm in Route Planning[J].Computer & Telecommunication,2020,1(5):36-40.
Authors:CHEN Qing-bin WU Yong
Abstract:As one of the most vigorous industries in the new era, China's tourism industry has undergone changes in just a few de- cades. 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 con- veniently 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 con- cern for Web applications. Network geographic information system is also becoming a popular information tool. Therefore, this pa- per establishes a tourism information decision system based on WebGIS, which will start from the perspective of geographic infor- mation system and carry out information optimization based on ant colony algorithm. It uses WebGIS to realize the function of que- ry and analysis of tourism spatial information and provide users with intelligent travel route planning.
Keywords:WebGIS  tourism  ant colony optimization  Vue  ArcGIS Server  
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