干旱区生态环境知识资源中心(Arid): Comprehensive Evaluation Model for Resettlement Site Selection in Karst Areas Using Multiobjective Particle Swarm Optimization

Arid

DOI	10.1109/ACCESS.2021.3101636
	Comprehensive Evaluation Model for Resettlement Site Selection in Karst Areas Using Multiobjective Particle Swarm Optimization
	Xu, Rui; Qin, Qianqing; Sun, Tao; Wang, Maoyang; Liu, Qiliang
通讯作者	Sun, T (corresponding author), Wuhan Univ, Elect & Informat Sch, Wuhan 430079, Peoples R China.
来源期刊	IEEE ACCESS
ISSN	2169-3536
出版年	2021
卷号	9 页码:113759-113769
英文摘要	Resettlement site selection is a systematic project constrained by multiple geographic, social, and economic factors, and site selection in karst mountainous areas is even more complicated. The key step in resettlement site selection is to reduce the uncertainty and inaccuracy of evaluation models. This study constructed an evaluation index system of a model for resettlement site selection in karst mountainous areas from multiple aspects, including karst rocky desertification environment, degree of geological hazard development, resource and environmental carrying capacity, transportation and economic development potential, as well as relocation cost. A hierarchical model was applied to classify the indices, determine the weighted optimal solution of the eigenvectors in matrices, and evaluate the suitability. A new algorithm for model parameter inference was developed based on four objectives, including achieving suitable ecoenvironment capacity, ensuring production and development, controlling relocation cost, and meeting the comprehensive requirements. The objective functions and constraints of the model with four objectives were also established. To address this problem, the multiobjective particle swarm algorithm was applied, and a novel concept of noninferior solution set was proposed. The objective functions and constraint conditions of the algorithm were optimized and improved from four aspects: parameter setting, representativeness of particles, noninferior solution set storage, and selection of global noninferior solution set. Guanling County, an area in Guizhou Province with a typical development of karst rocky desertification, was selected as the study site. The latest data for land use mapping were adopted as the smallest evaluation unit, and the improved multiobjective particle swarm algorithm was employed in evaluating the resettlement site selection within this area. The improved algorithm was applicable to a wide range of multiobjective optimization problems.
英文关键词	Optimization Particle swarm optimization Indexes Heuristic algorithms Statistics Sociology Water resources Resettlement site selection karst mountainous area multiobjective particle swarm algorithm
类型	Article
语种	英语
开放获取类型	gold
收录类别	SCI-E
WOS记录号	WOS:000686751200001
WOS关键词	ENVIRONMENT ; CHINA
WOS类目	Computer Science, Information Systems ; Engineering, Electrical & Electronic ; Telecommunications
WOS研究方向	Computer Science ; Engineering ; Telecommunications
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/363550
作者单位	[Xu, Rui; Qin, Qianqing] Wuhan Univ, State Key Lab Informat Engn Surveying Mapping & R, Wuhan 430072, Peoples R China; [Xu, Rui; Wang, Maoyang] Guizhou Survey Design Inst Water Resources & Hydr, Guiyang 550002, Peoples R China; [Sun, Tao] Wuhan Univ, Elect & Informat Sch, Wuhan 430079, Peoples R China; [Liu, Qiliang] Cent South Univ, Dept Geoinformat, Changsha 410083, Peoples R China
推荐引用方式 GB/T 7714	Xu, Rui,Qin, Qianqing,Sun, Tao,et al. Comprehensive Evaluation Model for Resettlement Site Selection in Karst Areas Using Multiobjective Particle Swarm Optimization[J],2021,9:113759-113769.
APA	Xu, Rui,Qin, Qianqing,Sun, Tao,Wang, Maoyang,&Liu, Qiliang.(2021).Comprehensive Evaluation Model for Resettlement Site Selection in Karst Areas Using Multiobjective Particle Swarm Optimization.IEEE ACCESS,9,113759-113769.
MLA	Xu, Rui,et al."Comprehensive Evaluation Model for Resettlement Site Selection in Karst Areas Using Multiobjective Particle Swarm Optimization".IEEE ACCESS 9(2021):113759-113769.