Study on the planning of rural land spatial utilization by improved particle swarm optimization
Автор: Yi Wenzhou
Журнал: Компьютерная оптика @computer-optics
Рубрика: Численные методы и анализ данных
Статья в выпуске: 6 т.44, 2020 года.
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The planning of rural land space utilization is a very important problem. In this paper, the objective function of rural land use planning was analyzed firstly, and then the improved particle swarm optimization (IPSO) algorithm was obtained by improving the inertia weight for solution. The results showed that the land space use in the study area was more reasonable after the planning based on the IPSO algorithm, the forest land and construction land increased, the area of grassland, cultivated land and water area reduced appropriately, the aggregation degree of all types of land improved, and the space distribution was more planned, which was more conducive to production activities. The analysis results verify the effectiveness of the IPSO method in land space use planning, which can improve the efficiency and benefit of land space use, and it can be popularized in practical application.
Particle swarm optimization, land spatial utilization, land planning, rural
Короткий адрес: https://sciup.org/140250076
IDR: 140250076 | DOI: 10.18287/2412-6179-CO-723
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