Full-Text Search:
Home|Journal Papers|About CNKI|User Service|FAQ|Contact Us|中文
《Journal of Geo-Information Science》 2017-08
Add to Favorite Get Latest Update

Land Use Optimization Allocation Based on Chaos Ant Colony Algorithm

LU Junhui;MEI Zhixiong;ZHAO Shufang;XIAO Yanyun;School of Geography, South China Normal University;  
The optimal allocation of land use is an important and effective measures of promoting the sustainable development of the land. However, existing research was lack of efficient methods in the optimization allocation for the quantitative structure and spatial layout of land use by using original mixed algorithm. Therefore, this paper combined the ant colony optimization algorithm(ACO) with the chaos model, and proposed a hybrid and self-adapt chaos ant colony optimization algorithm(CACO). After that, in order to verify the feasibility and efficiency of the CACO, the Zengcheng district of Guangzhou was selected as the study case. The CACO was utilized to solve the model of land use optimization allocation based on the evaluation of actual land sustainable use. Finally, this study made some comparative analysis of the results of the CACO and the actual land use and the results of the ACO respectively in three main aspects: the quantitative structure of land use, the spatial layout of land use and the multiple objective functions. The results showed that: firstly, the CACO can effectively solve the complex problems of multi-objective land use optimization allocation under multiple constraint conditions;secondly, compared with the ACO, the coordination between economic benefit and ecological effectiveness in the CACO was weakened slightly. The CACO rose all others objective functions' values. For example,economic benefits increased by 7.18 billion yuan, ecological effectiveness increased by 0.33 billion yuan, social benefits increased by 1.13%, while the land conversion costs shrank by 1.15%. Thirdly, compared with the ACO,the CACO decreased the diversity and evenness index of actual land use spatial distribution within 1.30%, made the number of total land patches reduced about 8.86%, and the average patches size increased 9.77%. The level of the land intensive use was improved. Therefore, the CACO could reasonably optimize actual various land use types to appropriate spatial layout, and supply useful technical support for scientific land use planning and decisions making.
【Fund】: 国家自然科学基金项目(41001078)
【CateGory Index】: F301.2;TP18
Download(CAJ format) Download(PDF format)
CAJViewer7.0 supports all the CNKI file formats; AdobeReader only supports the PDF format.
©2006 Tsinghua Tongfang Knowledge Network Technology Co., Ltd.(Beijing)(TTKN) All rights reserved