农业工程学报2011，Vol.27Issue(11)：319-324,6.DOI:10.3969/j.issn.1002-6819.2011.11.060
基于粒子群优化投影寻踪模型的区域土地资源承载力综合评价
Comprehensive evaluation of regional land resources carrying capacity based on projection pursuit model optimized by particle swarm optimization
摘要
Abstract
In order to solve the problem of poor objectivity of index weight assignment for land resources carrying capacity evaluation, the projection pursuit evaluation model optimized by particle swarm optimization algorithm was proposed and applied to evaluate the land resources carrying capacity of Sanjiang plain in 2008. The results showed that the model was feasible for effectively avoiding human disturbance in index weight assignment and obtaining the evaluation results in agreement with facts. The evaluation results indicated that the comprehensive evaluation value of the land resources carrying capacity grade of the whole Sanjiang plain was 2.621 in 2008, and the land resources utilization had strong carrying capacity for social development and environment protection but had low guarantee degree for economic and technical development. The land resources carrying capacity of the cities and counties showed significant differences in Sanjiang plain. Thus scientific programs for land use and socioeconomic development ought to be made according to the regional resources characteristics.关键词
土地利用/模型/区域规划/土地资源承载力/投影寻踪评价/粒子群优化/三江平原Key words
land use/models/regional planning/land resources carrying capacity/projection pursuit evaluation/particle swarm optimization/Sanjiang plain分类
管理科学引用本文复制引用
姜秋香,付强,王子龙..基于粒子群优化投影寻踪模型的区域土地资源承载力综合评价[J].农业工程学报,2011,27(11):319-324,6.基金项目
国家自然科学基金(51179032) （51179032）
国家“十一五”科技支撑计划子课题(2009BADB3B0205) （2009BADB3B0205）
教育部高等学校博士学科点专项科研基金(20092325110014) （20092325110014）
黑龙江省普通高校新世纪优秀人才培养计划(1155-NCET-004). （1155-NCET-004）
