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2014•Wuhan Daxue xuebao. Xinxi kexue banRequires access

Establishing Land Use Zoning Model by Clonal Selection Algorithm

Jiqiang Niu

Open publisher page 3 citations

Abstract

A Land use zoning model was constructed by spatial clustering as integrated with GIS and CLONALG.The key technology of this algorithm,including coding,antibody-antigen affinity,antibody diversity,was improved.This model is verified by a case study of land use zoning in Wulie, Changjiang county,Hainan province.The results show that this model can be used for land use zoning in a multi-constrained environment.Due to the advantages of global optimization,this stable and reliablemodel can provide a scientific and rational land use planning scheme to support land use planning and land use regulation and management.

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What this paper is about

A Land use zoning model was constructed by spatial clustering as integrated with GIS and CLONALG.The key technology of this algorithm,including coding,antibody-antigen affinity,antibody diversity,was improved.This model is verified by a case study of land use zoning in Wulie, Changjiang county,Hainan province.The results show that this model can be used for land use zoning in a multi-constrained environment.Due to the advantages of global optimization,this stable and reliablemodel can provide a scientific and rational land use planning scheme to support land use planning and land use regulation and management.

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Available abstract

A Land use zoning model was constructed by spatial clustering as integrated with GIS and CLONALG.The key technology of this algorithm,including coding,antibody-antigen affinity,antibody diversity,was improved.This model is verified by a case study of land use zoning in Wulie, Changjiang county,Hainan province.The results show that this model can be used for land use zoning in a multi-constrained environment.Due to the advantages of global optimization,this stable and reliablemodel can provide a scientific and rational land use planning scheme to support land use planning and land use regulation and management.

Key concepts: Zoning, Land use, Computer science, Cluster analysis, Land-use planning, Clonal selection algorithm, Coding (social sciences), Site selection

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