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地球科学进展  2009, Vol. 24 Issue (8): 899-907    DOI: 10.11867/j.issn.1001-8166.2009.08.0899
研究论文     
地理模拟优化系统GeoSOS及前沿研究
黎夏,李丹,刘小平,何晋强
中山大学地理科学与规划学院,广东  广州  510275
Geographical Simulation and Optimization System (GeoSOS) and Its Cutting-edge Researches 
Li Xia, Li Dan, Liu Xiaoping, He Jinqiang
School of Geography and Planning, Sun Yat-sen University, Guangzhou  510275,China
 全文: PDF(2612 KB)  
摘要:

提出地理模拟优化系统(GeoSOS)的概念、研究内容和实现方法,以提供一种十分有效的地理过程分析和空间探索的工具。地理模拟优化系统的理论基础涉及复杂系统理论、地理信息科学、计算机科学、地理学等。所提出的地理模拟优化系统由3个子模块构成:元胞自动机模拟子系统、多智能体模拟子系统和基于生物智能的优化子系统。建立地理模拟优化系统可以为复杂资源环境及变化提供一种有效的模拟和优化工具,弥补目前GIS对过程分析功能的严重不足。

关键词: 地理模拟优化系统 GIS 元胞自动机 多智能体    
Abstract:

This paper discusses the concepts and methodologies of Geographical Simulation and Optimization System (GeoSOS). The objective is to provide an efficient spatial exploratory tool for geographic process analyses. The basis of GeoSOS includes complex system theories, GIS, computer sciences and geography. The proposed GeoSOS includes three components, Cellular Automata (CA), Multi-Agent Systems (MAS), and Swarm Intelligence (SI). The establishment of GeoSOS can provide useful toolboxes for solving many simulation and optimization problems that can be difficult to solve by using existing functionality of GIS.

Key words: Geographical Simulation and Optimization Systems         Cellular automata         Multi-agent systems         Swarm Intelligence
收稿日期: 2008-12-17 出版日期: 2009-08-10
:  P96  
通讯作者: 黎夏     E-mail: lixia@mail.sysu.edu.cn
作者简介: 黎夏(1962-),男,广西梧州人,教授,主要从事遥感和地理信息系统研究. E-mail:lixia@mail.sysu.edu.cn
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引用本文:

黎夏,李丹,刘小平,何晋强. 地理模拟优化系统GeoSOS及前沿研究[J]. 地球科学进展, 2009, 24(8): 899-907.

Li Xia, Li Dan, Liu Xiaoping, He Jinqiang. Geographical Simulation and Optimization System (GeoSOS) and Its Cutting-edge Researches . Advances in Earth Science, 2009, 24(8): 899-907.

链接本文:

http://www.adearth.ac.cn/CN/10.11867/j.issn.1001-8166.2009.08.0899        http://www.adearth.ac.cn/CN/Y2009/V24/I8/899

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