Urban land space optimization configuration method based on Pareto frontier degradation
A technology for optimizing configuration and space, applied in data processing applications, structured data retrieval, geographic information databases, etc., can solve the problem of high algorithm performance and parameter design requirements, complex high-performance iterative calculations, and poor adaptation to land space Planning fast solution and other problems to achieve fast space optimization, less optimization parameters, and improved space movement behavior
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[0040] The present invention will be further described in detail below in conjunction with the embodiments and the accompanying drawings, but the embodiments of the present invention are not limited thereto.
[0041] see Figure 1-Figure 4 , a method for optimal allocation of urban land space based on Pareto front degradation of the present invention, comprising the following steps:
[0042] (1) Use the urban spatial pattern calculation module to obtain the urban spatial pattern, and use the urban land scale calculation module to obtain the total scale of urban land (Q t-n ,...,Q t-2 , Q t-1 , Q t ), calculate the demand for urban land scale through the forecasting module (Q t+1 , Q t+2 ,...,Q t+n );
[0043] Among them, the calculation method of the urban spatial pattern calculation module is to use satellite remote sensing images to monitor the regional urban spatial pattern (U t-n ,...,U t-2 , U t-1 , U t ), the area is composed of grids with M rows×N columns; th...
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