Urban landscape, as an important element to show the level of urban culture and economic development, should actively cater to the growing traffic demand and residential services during construction and management, and pay attention to ensuring the coordination and humanity involved in urban landscape. Therefore, under the guidance of the low-carbon concept, relevant departments are aiming at the current problems of resource depletion, water pollution, air pollution and other problems faced by urban landscape design optimization. Artificial intelligence algorithm is used to optimize the design method. After understanding the optimization problems and basic principles of urban landscape design under the concept of low carbon, this paper mainly discusses the basic concept and process of interactive genetic algorithm and discusses how to optimize urban landscape design scheme based on interactive genetic algorithm in combination with practical cases, so as to provide strong support for the construction of high-quality landscape environment.

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Optimization Analysis of Urban Landscape Design Based on Interactive Genetic Algorithm

  • Feifei Pei

摘要

Urban landscape, as an important element to show the level of urban culture and economic development, should actively cater to the growing traffic demand and residential services during construction and management, and pay attention to ensuring the coordination and humanity involved in urban landscape. Therefore, under the guidance of the low-carbon concept, relevant departments are aiming at the current problems of resource depletion, water pollution, air pollution and other problems faced by urban landscape design optimization. Artificial intelligence algorithm is used to optimize the design method. After understanding the optimization problems and basic principles of urban landscape design under the concept of low carbon, this paper mainly discusses the basic concept and process of interactive genetic algorithm and discusses how to optimize urban landscape design scheme based on interactive genetic algorithm in combination with practical cases, so as to provide strong support for the construction of high-quality landscape environment.