Title: An optimisation method of urban road green space landscape layout based on leapfrog algorithm

Authors: Yuanying Li; Linlin Zheng

Addresses: Department of Art and Design, Huanghe Jiaotong University, Jiaozuo 454950, China ' Department of Art and Design, Huanghe Jiaotong University, Jiaozuo 454950, China

Abstract: To improve the effect of green space landscape layout optimisation and shorten the time-consuming of view layout optimisation, this paper proposes an urban road green space landscape layout optimisation method based on leapfrog algorithm. Firstly, GIS is used to collect road landscape layout data. Then, the index weight is calculated by analytic hierarchy process. The frog-leaping algorithm is used to construct the fitness objective function and solve the fitness value. Finally, the fitness values are sorted from good to bad to judge whether the current output optimal value is the global optimal value, and the final landscape layout optimisation scheme is obtained. The experimental results show that the green space landscape layout optimisation time of this method is only 8.3 s, and the rationality of landscape layout is as high as 99.02%, which shows that this method can have a good effect of road green space landscape layout optimisation.

Keywords: leapfrog algorithm; hierarchical single sorting; judgment matrix; analytic hierarchy process; fitness function.

DOI: 10.1504/IJETM.2023.134323

International Journal of Environmental Technology and Management, 2023 Vol.26 No.6, pp.457 - 469

Received: 27 May 2022
Accepted: 03 Oct 2022
Published online: 18 Oct 2023 *

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