基于粒子群算法的珲春市主体功能区划分  

Division of Main Function Area in Hunchun City Based on Particle Swarm Optimization Algorithm

作　　者：金琳[1] 李淑杰[1] 郭敏[1] 余娜[1] 

机构地区：[1]吉林大学地球科学学院,长春130061

出　　处：《湖北农业科学》2016年第21期5473-5478,共6页Hubei Agricultural Sciences

基　　金：国家自然科学基金项目(71303006);中国科学院知识创新项目(KZCX2-YW-Q1-07)

摘　　要：为了改进现有划分主体功能区方法中存在的工作量大、带有一定的主观性等弊端,以吉林省珲春市为实证研究对象,采用粒子群算法及Matlab7.0软件运行算法对主体功能区进行划分,验证粒子群算法的可行性及简便性。结果表明,与先前常用的聚类方法相比,该方法能够简单有效地划分功能区,且采用此方法划分出的结果与实际情况更为贴切,具有进一步推广及应用的价值。In order to improve the disadvantages of the methods that used to divide into mainfunction area, e.g., heavy workload and the certain subjectivity results, taking Hunchun city of Jilin province as an example, the particle swarm optimization algorithm and Matlab7.0 software were adopted to divide into mainfunction area, and the feasibility and simplicity of this method was verified. The results showed that this method was simple and effective for classification of functional areas compared with the previous clustering methods. And the results of this method were more appropriate to the actual situation,which has the value for further popularization and application.

关 键 词：主体功能区 粒子群算法 珲春市 

分 类 号：K928.2[历史地理—人文地理学]