太阳成8722(中国)有限公司-GREEN NO.1

标题：A Land-use Spatial Allocation Model Based on Modified Ant Colony Optimization作者：Liu,Yaolin;Tang,Diwei;Kong,Xuesong;Liu,Yanfang;Ai,Tinghua

来源出版物：INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH 卷：8 期：4页：1115-1126 出版年：FAL 2014

摘要：Land-use spatial allocation is a multi-objective collaborative spatial optimization method for rational use of the land use. Based on global search capabilities and the information feedback mechanism of ant colony optimization (ACO), a land-use spatial allocation model (ACO-LA) is proposed. Firstly, a construction graph is built for modeling the land-use spatial allocation problem. Secondly, the behaviors of artificial ants are improved so that the solution can be found obtained quickly in the searching space. Finally, the ant colony generates optimized solutions by reconciling the conflicts between different planning objectives or by setting the relative dominance of different land-use types. Our study focuses on Gaoqiao Town of Fuyang City in Zhejiang Province, China. The model maximizes the land-use suitability and spatial compactness-, and minimizes the cost of changing the land use, based on a variety of constraints, e.g., the optimal land-use structure and land-use policies. The results suggest that this model can obtain an optimized land-use spatial pattern from different sets of sub-objective weights and different development scenarios. With the constraint of the land-use structure, the land-use types can be distributed more reasonably by different sets of sub-objective weights. In different development scenarios, the model encourages areas of land-use types in line with the development direction, adapting to meet different development needs by setting the relative dominance of the different land-use types, W-dominance, which is added to the component selection probability P-ij.

入藏号：WOS:000344126300027

文献类型：Article

语种：English

作者关键词：Land-use spatial allocation, ACO, Construction graph, Solution component, Scenario simulation

扩展关键词：INFORMATION-SYSTEMS; AREAS; GIS; SEARCH

通讯作者地址：Tang, D. W.; Wuhan Univ, Sch Resource & Environm Sci, Wuhan 430079, Peoples R China.

电子邮件地址：

地址： jstdw@163.com

[Liu, Y. L.; Tang, D. W.; Kong, X. S.; Liu, Y. F.; Ai, T. H.]Wuhan Univ, Sch Resource & Environm Sci, Wuhan 430079, Peoples R China.

[Liu, Y. L.; Kong, X. S.; Liu, Y. F.; Ai, T. H.] Minist Educ, Key Lab Geog Informat Syst, Wuhan 430079, Peoples R China.

[Liu, Y. L.; Kong, X. S.; Liu, Y. F.; Ai, T. H.] Natl Adm Surveying Mapping & Geoinformat, Key Lab Digital Mapping & Land Informat Applicat, Wuhan 430079, Peoples R China.

研究方向：Environmental Sciences & Ecology

ISSN：1735-6865

eISSN：2008-2304