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Study on the planning of rural land spatial utilization by improved particle swarm optimization
W.Z. Yi 1

1 School of Information Engineering, Guangdong Engineering Vocational and Technical College,
Guangzhou 510520, China

 PDF, 740 kB

DOI: 10.18287/2412-6179-CO-723

Pages: 990-994.

Full text of article: English language.

Abstract:
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.

Keywords:
particle swarm optimization, land spatial utilization, land planning, rural.

Citation:
Yi WZ. Study on the planning of rural land spatial utilization by improved particle swarm optimization. Computer Optics 2020; 44(6): 990-994. DOI: 10.18287/2412-6179-CO-723.

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