A land-use spatial optimum allocation model coupling a multi-agent system with the shuffled frog leaping algorithm

doi:10.1016/j.compenvurbsys.2019.101360

	A land-use spatial optimum allocation model coupling a multi-agent system with the shuffled frog leaping algorithm
	Huang, Qiang 1,2,3; Song, Wei 1
刊名	COMPUTERS ENVIRONMENT AND URBAN SYSTEMS
	2019-09-01
卷号	77 页码:19
关键词	Land-use Spatial optimization Multi-agent system (MAS) Shuffled frog leaping algorithm (SFLA)
ISSN号	0198-9715
DOI	10.1016/j.compenvurbsys.2019.101360
通讯作者	Song, Wei(songw@igsnrr.ac.cn)
英文摘要	The optimum allocation of land resources is an important process that promotes the intensive use of land resources and facilitates sustainable development. The main land-use optimum allocation models generally tend to ignore the influence of human activities on the optimization of land-use; thus, leading to inaccurate optimization results for the land-use spatial layout and impeding sustainable land-use planning. Some of these models consider human activities, but lack global optimization goals and iterative search mechanisms, and therefore have no optimization function and provide unsatisfactory optimization results. Therefore, this study coupled the multi-agent system (MAS) that contains land-use planning knowledge with the search iteration mechanism in the shuffled frog leaping algorithm (SFLA) and rebuilt the local optimization behavior of the SFLA; thus, developing a new kind of land-use optimum allocation model, the so-called "multi-agent shuffled frog leaping algorithm" (MASFLA). The model was then applied to the Jizhou District of Tianjin City, and there were three key simulation results. (1) The MASFLA had remarkable optimization effects on land resource use, and the optimized values of ecosystem services, regional economic output, and land-use intensive degree increased by 18.6, 51.1, and 30.3%, respectively. (2) The MASFLA had better optimization effects than a single algorithm, and its comprehensive fitness value was 2.1 and 4.1% higher than that of the SFLA and the particle swarm optimization (PSO), respectively, under the same convergence conditions. (3) The MASFLA model could relieve the land-use conflicts between different decision-making agents and realize the optimum allocation of regional land-use in terms of both spatial structure and quantity under multiple optimization goals and restrictions; thus, increasing the local economic output, improving the land-use spatial compactness and ecological environment, and promoting the sustainable use of regional land.
资助项目	Chinese Academy of Sciences[XDA20040201] ; National Natural Science Foundation of China[41671177] ; National Natural Science Foundation of China[41501192] ; Key Laboratory of Earth Observation and Geospatial Information Science of NASG[201807] ; Project of Research of Standards Drafting Expert Database from China National Institute of Standardization
WOS关键词	GENETIC ALGORITHM ; CELLULAR-AUTOMATA ; IMAGE-ANALYSIS ; OPTIMIZATION ; SIMULATION ; DYNAMICS ; DESIGN ; AREA
WOS研究方向	Computer Science ; Engineering ; Environmental Sciences & Ecology ; Geography ; Operations Research & Management Science ; Public Administration
语种	英语
出版者	ELSEVIER SCI LTD
WOS记录号	WOS:000488657500019
资助机构	Chinese Academy of Sciences ; National Natural Science Foundation of China ; Key Laboratory of Earth Observation and Geospatial Information Science of NASG ; Project of Research of Standards Drafting Expert Database from China National Institute of Standardization
内容类型	期刊论文
源URL	[http://ir.igsnrr.ac.cn/handle/311030/129896]
专题	中国科学院地理科学与资源研究所
通讯作者	Song, Wei
作者单位	1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Land Surface Pattern & Simulat, Beijing 100101, Peoples R China 2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 3.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China
推荐引用方式 GB/T 7714	Huang, Qiang,Song, Wei. A land-use spatial optimum allocation model coupling a multi-agent system with the shuffled frog leaping algorithm[J]. COMPUTERS ENVIRONMENT AND URBAN SYSTEMS,2019,77:19.
APA	Huang, Qiang,&Song, Wei.(2019).A land-use spatial optimum allocation model coupling a multi-agent system with the shuffled frog leaping algorithm.COMPUTERS ENVIRONMENT AND URBAN SYSTEMS,77,19.
MLA	Huang, Qiang,et al."A land-use spatial optimum allocation model coupling a multi-agent system with the shuffled frog leaping algorithm".COMPUTERS ENVIRONMENT AND URBAN SYSTEMS 77(2019):19.