地理模拟优化系统GeoSOS软件构建与应用

The Implementation and Application of Geographical Simulation and Optimization Systems(GeoSOS)

在提出的地理模拟优化系统概念的基础上,进一步构建了整合的软件系统GeoSOS,以解决地理信息系统(GIS)目前在对过程分析存在功能不足的难题。作为GIS的重要扩展,该系统由3个重要模块组成:地理元胞自动机(CA)、多智能体系统(MAS)和生物智能(SI)。地理元胞自动机模块包含了常用的CA模型,包括MCE-CA,Logistic-CA,ANN-CA,Decision-tree CA等,为用户提供了一种选择最佳模拟模型的方便环境。GeoSOS能根据训练数据,自动获取最佳的模型参数。该系统还将MAS和SI引进模型中,提高了对复杂地理过程进行分析的能力。另一特色是具备了将模拟和优化耦合的能力,由此能大大改善模拟优化的结果,为复杂的资源环境模拟和优化提供了强有力的过程分析工具。

This study has developed the platform for Geographical Simulation and Optimization Systems（GeoSOS）.The objective is to improve the limitations of current GIS on process analyses.GeoSOS consists of three major integrated components,cellular automata（CA）,multi-agent systems（MAS）,and swarm intelligence（SI）.This system is equipped with common CA algorithms,such as MCE-CA,Logistic-CA,PCA-CA,ANN-CA,and Decision-tree-CA.This system can automatically obtain transition rules according to data mining techniques.The incorporation of MAS and SI can help to solve a variety of complex geographical simulation and optimization problems.Another novelty of this proposed system is its capability of coupling simulation models with optimization models.Experiments have demonstrated that this coupling strategy can yield more satisfactory modeling results under complex changing environments.