基于多智能体粒子群算法的松嫩平原土地利用格局优化

doi:10.18402/resci.2019.04.10

Abstract

Abstract: Land-use pattern is an important indicator for the evaluation of land use and useful for analyzing and explaining the spatial phenomena, processes, and mechanisms of regional land use. The main aims of this study were to establish the optimization model of land-use pattern in a typical area of the Song-Nen Plain regionBayan Countybased on GIS and remote sensing technologies, Matlab programming, and multi-agent particle swarm optimization (MA-PSO); to optimize grain production, ecological security, and socioeconomic development with three agents of government, authorities, and individuals; and to assess the optimization schemes of land-use pattern based on the decision of land-use pattern optimization subgoals. The results indicated that the optimization model of land-use pattern based on GIS and remote sensing technologies, Matlab programming, and MA-PSO model could achieve a reasonable matching of the quantitative structure of land-use types in time and space and the rational allocation of spatial configuration and combination. The optimization objective functions of scheme I, II, and III were ecological security, socioeconomic development, and improved grain production, respectively, and the three optimization schemes had significant differences in the realization of the optimization subgoals. The different optimization schemes of land-use pattern had different land-use structures and spatial distribution characteristics. The study has enriched the theoretical basis and research methods of land-use pattern optimization, which can provide powerful technical support for land-use planning.

Key words: land use, pattern optimization, multi-agent particle swarm optimization, Song-Nen Plain

WANG Yue, SONG Ge, LV Bing. Optimization of land-use pattern based on multi-agent particle swarm optimization in the Song-Nen Plain region[J].Resources Science, 2019, 41(4): 729-739.

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Optimization of land-use pattern based on multi-agent particle swarm optimization in the Song-Nen Plain region

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