Land-Use Spatial Optimization Based on PSO Algorithm  

作　　者：MA Shifa HE Jianhua LIU Feng YU Yan 

机构地区：[1]School of Resource and Environmental Science, Wuhan University, 129 Luoyu Road, Wuhan 430079, China [2]Key Laboratory of Geographic Information System, Ministry of Education, Wuhan University, 129 Luoyu Road, Wuhan430079, China [3]School of Resource and Environmental Engineer, Wuhan University of Technology, 122 Luoshi Road, Wuhan 430070, China

出　　处：《Geo-Spatial Information Science》2011年第1期54-61,共8页地球空间信息科学学报（英文）

基　　金：Supported by the National Natural Science Foundation of China (No. 40701145, 40701143); the Open Foundation of State Key Laboratory of Information Engineering in Surveying,Mapping and Remote Sensing in Wuhan University, China(2009)

摘　　要：The optimization of land-use spatio-structure is one of the most important areas of land use management;constructing a spatial optimization model that is based on the micro spatial unit in a bottom-up mode plays an important role in coupling the quan-tity structure and spatial structure effectively.The objective of this research is to develop a land use spatial optimization model based on particle swarm optimization to make spatial decision in land use management.The model is implemented using real data-sets to emulate the process of spatial structure optimization in order to get the best landscape pattern under the control of decision environments.Simulation results revealed that the particle swarm optimization model has the ability to utilize the quantity and spa-tial structure.Furthermore,the result demonstrated that it can be used to stimulate the landscape pattern in designing the appropriate optimization environment,which could land quantity target to the basic spatial units effectively and provide appropriate spa-tio-structure for regional land use space layout decision making.The optimization of land-use spatio-structure is one of the most important areas of land use management; constructing a spatial optimization model that is based on the micro spatial unit in a bottom-up mode plays an important role in coupling the quantity structure and spatial structure effectively. The objective of this research is to develop a land use spatial optimization model based on particle swarm optimization to make spatial decision in land use management. The model is implemented using real datasets to emulate the process of spatial structure optimization in order to get the best landscape pattern under the control of decision environments. Simulation results revealed that the particle swarm optimization model has the ability to utilize the quantity and spatial structure. Furthermore, the result demonstrated that it can be used to stimulate the landscape pattern in designing the appropriate optimization environment, which could land quantity target to the basic spatial units effectively and provide appropriate spatio-structure for regional land use space layout decision making.

关 键 词：PSO land-use spatial allocation intelligent agent GIS 

分 类 号：P208[天文地球—地图制图学与地理信息工程]