LOW-CARBON URBAN LAND LAYOUT OPTIMIZATION SIMULATION METHOD, SYSTEM AND EQUIPMENT

Abstract

A low-carbon urban land layout optimization simulation method includes establishing a land layout optimization scheme by determining the objective function and constraint conditions of the adjustable land layout optimization; the objective function includes the first objective function to achieve low-carbon transportation, the second objective function to reduce the urban heat island effect, and the third objective function to control and adjust the carbon cost; the vector plot with internal nested grid points is used as the simulation analysis unit, and the genetic algorithm is used to simulate the land layout optimization scheme. In the simulation process, the simulation analysis unit is used to select, cross, and mutate in the genetic algorithm, and finally, the optimal land layout scheme is selected. The method uses the global and holistic characteristics of a genetic algorithm to screen out the optimal land use layout scheme.

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