Intelligent optimization method for land utilization layout
An intelligent optimization and layout optimization technology, applied in data processing applications, forecasting, calculations, etc., can solve problems such as unreasonable land use layout and heavy dependence on experience
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[0035] The flowchart of the particle swarm algorithm adopted in the present invention is as figure 1 Show.
[0036] The land use layout intelligent optimization method includes the following steps:
[0037] Step 1. Collect and organize basic data related to land use layout, including basic statistical data and spatial data, basic statistical data such as regional population over the years, demand for various types of land, forest coverage, total area of the region, spatial data such as land use Current status map, evaluation results of various types of suitability, road traffic map, slope map, soil fertility distribution map, and plow layer thickness distribution map. Spatial data needs to be rasterized according to a unified range and grid size, so that the attribute information of each grid unit is corresponding.
[0038] Step 2. Divide the operation unit. According to the grid attribute information sorted out in step 1, multiple grid units with similar attributes and in...
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