Research on the Flow Space Planning Model of a Classical Garden Based on an Ant Colony Optimization Algorithm

YuLu Tang, Zamira Madina and Naeem Jan

Journal of Mathematics, 2022, vol. 2022, 1-8

Abstract: The traditional spatial planning model has a large error and poor spatial planning effect, which cannot adapt to the construction of classical gardens. The flow spatial planning model of classical gardens based on an ant colony optimization algorithm is designed. The aim of the study is to perform the following: Analysis of classical garden flow space scale, quantifying the spatial flow scale of classical gardens, modifying classical garden spatial sequence based on the ant colony optimization algorithm, and constructing the flow space planning model of classical garden. By means of a comparison experiment, the error of the new model is small, and the effect of spatial planning is increased, which is of great popularization value.

Date: 2022
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Persistent link: https://EconPapers.repec.org/RePEc:hin:jjmath:2001084

DOI: 10.1155/2022/2001084

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