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Automatic design optimization of landscape space based on improved genetic algorithm in tropical environment

Yu Liping

Acta Geophysica

2023

Vol. 71, no. 3

1475--1489

The problem of urban microclimate deterioration is becoming more and more serious, and the automatic optimization of landscape space in tropical and subtropical environment needs to be solved urgently. Urban development also leads to some problems in the urban environment which are related to people’s life and development. The main research content of this paper is the automatic optimization design of landscape space based on genetic algorithms and urban climate map. With the specific goal of improving the urban wind and heat environment, combined with the technical means in many fields such as architecture, urban planning, and computer technology, we try to establish a set of scientific automatic generation and optimization methods of urban design, which are suitable for different levels of work needs in the field of urban planning, from the mesoscale zoning planning to more microscopic neighborhood-scale urban design. The experimental results show that this paper uses genetic algorithms on the Rhino Grasshopper software platform to automatically find out the optimal layout of each modules with different proportions and distributions and generate the optimal layout of the environment for a given volume ratio.