Title: Spatial planning method of urban landscape architecture distribution pattern based on evolutionary algorithm

Authors: Jingjing Feng; Yuxiong Chen

Addresses: School of Information, Guangdong Nanfang Institute of Technology, Jiangmen 529000, China ' School of Information, Guangdong Nanfang Institute of Technology, Jiangmen 529000, China

Abstract: Aiming at the problems of low planning accuracy and long planning time in the traditional spatial planning method of urban landscape architecture distribution pattern, a spatial planning method of urban landscape architecture distribution pattern based on evolutionary algorithm was proposed. First, we acquire urban landscape remote sensing images through ETM+ and Landsat TM/OLI images, and use ENVI software to conduct geometric correction, image enhancement and other image processing. Then, we acquire spatial data of landscape distribution pattern from urban landscape green space types, patch area size, number and other aspects. We then use differential evolution algorithm to calculate the fitness value corresponding to the initialised population, extract landscape features, and use mutation operators. The optimal solution is obtained through the three steps of crossover operator and selection operation, which is the optimal spatial planning strategy. The simulation results show that the proposed method has higher precision and shorter planning time in spatial planning of urban landscape architecture distribution pattern.

Keywords: evolutionary algorithm; urban landscape architecture; distribution pattern; spatial planning; landscape characteristics.

DOI: 10.1504/IJETM.2024.135562

International Journal of Environmental Technology and Management, 2024 Vol.27 No.1/2, pp.66 - 78

Received: 29 Sep 2022
Accepted: 07 Dec 2022
Published online: 18 Dec 2023 *

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