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刘耀林等的论文在International Journal of Environmental Research and Public Health刊出
发布时间:2013-01-15 11:09:43 发布者:admin 浏览次数:

标题:Land Use Zoning at the County Level Based on a Multi-Objective Particle Swarm Optimization Algorithm: A Case Study from Yicheng, China

作者:Liu, Yaolin; Wang, Hua; Ji, Yingli; Liu, Zhongqiu; Zhao, Xiang

来源出版物:INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 卷:9 期:8 页:2801-2826 出版年:AUG,2012

摘要:Comprehensive land-use planning (CLUP) at the county level in China must include land-use zoning. This is specifically stipulated by the China Land Management Law and aims to achieve strict control on the usages of land. The land-use zoning problem is treated as a multi-objective optimization problem (MOOP) in this article, which is different from the traditional treatment. A particle swarm optimization (PSO) based model is applied to the problem and is developed to maximize the attribute differences between land-use zones, the spatial compactness, the degree of spatial harmony and the ecological benefits of the land-use zones. This is subject to some constraints such as: the quantity limitations for varying land-use zones, regulations assigning land units to a certain land-use zone, and the stipulation of a minimum parcel area in a land-use zoning map. In addition, a crossover and mutation operator from a genetic algorithm is adopted to avoid the prematurity of PSO. The results obtained for Yicheng, a county in central China, using different objective weighting schemes, are compared and suggest that: (1) the fundamental demand for attribute difference between land-use zones leads to a mass of fragmentary land-use zones; (2) the spatial pattern of land-use zones is remarkably optimized when a weight is given to the sub-objectives of spatial compactness and the degree of spatial harmony, simultaneously, with a reduction of attribute difference between land-use zones; (3) when a weight is given to the sub-objective of ecological benefits of the land-use zones, the ecological benefits get a slight increase also at the expense of a reduction in attribute difference between land-use zones; (4) the pursuit of spatial harmony or spatial compactness may have a negative effect on each other; (5) an increase in the ecological benefits may improve the spatial compactness and spatial harmony of the land-use zones; (6) adjusting the weights assigned to each sub-objective can generate a corresponding optimal solution, with a different quantity structure and spatial pattern to satisfy the preference of the different decision makers; (7) the model proposed in this paper is capable of handling the land-use zoning problem, and the crossover and mutation operator can improve the performance of the model, but, nevertheless, leads to increased time consumption.

文献类型:Article

语种:English

作者关键词:land-use zoning, multi-objective optimization, particle swarm optimization, crossover and mutation, Yicheng

扩展关键词:PARAMETER SELECTION; GENETIC ALGORITHM; ALLOCATION; POLICY; CONVERGENCE; DESIGN

通讯作者地址:Liu, YL (通讯作者),Wuhan Univ, Sch Resource & Environm Sci, Luoyu Rd 129, Wuhan 430079, Peoples R China.

地址:

[Liu, Yaolin; Wang, Hua; Liu, Zhongqiu; Zhao, Xiang]Wuhan Univ, Sch Resource & Environm Sci, Wuhan 430079, Peoples R China

[Liu, Yaolin]Wuhan Univ, Minist Educ, Key Lab Geog Informat Syst, Wuhan 430079, Peoples R China

[Ji, Yingli]CentChina Normal Univ, Dept Comp Sci, Wuhan 430079, Peoples R China

电子邮件地址yaolin610@163.com;whuwanghua@163.com;lucky201199@163.com;zoneq6@163.com;zhaoxiang@whu.edu.cn" data-ke-src=" mailto:zhaoxiang@whu.edu.cn?>zhaoxiang@whu.edu.cn" data-ke-src=" mailto:zhaoxiang@whu.edu.cn?>zhaoxiang@whu.edu.cn" data-ke-src=" mailto:zhaoxiang@whu.edu.cn?>zhaoxiang@whu.edu.cn" data-ke-src=" mailto:zhaoxiang@whu.edu.cn?>zhaoxiang@whu.edu.cn" data-ke-src=" mailto:zhaoxiang@whu.edu.cn?>zhaoxiang@whu.edu.cn" data-ke-src=" mailto:zhaoxiang@whu.edu.cn?>zhaoxiang@whu.edu.cn" data-ke-src=" mailto:zhaoxiang@whu.edu.cn?>zhaoxiang@whu.edu.cn" data-ke-src=" mailto:zhaoxiang@whu.edu.cn?>zhaoxiang@whu.edu.cn"zhaoxiang@whu.edu.cn

学科类别:Environmental Sciences

ISSN:1660-4601

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