Article: Spatial layout design of garden landscapes based on a hybrid metaheuristic optimisation algorithm Journal: International Journal of Reasoning-based Intelligent Systems (IJRIS) 2025 Vol.17 No.12 pp.13 - 23 Abstract: As people's demand for high-quality landscaping improves, traditional design methods often face limitations such as difficulty in global optimisation. For this reason, this paper firstly deals with indicators of topographic location index, vegetation coverage and landscape risk index without dimension. A mathematical model of spatial layout is established, and the objective functions of coordination and minimisation of design cost are taken as the constraints. A hybrid genetic ant colony algorithm for landscape layout was designed, and several solutions were derived from the improved genetic algorithm, which were used to initialise the pheromone concentration of the ant colony algorithm. The mathematical model of spatial layout design was solved by continuous iteration to obtain the optimal design scheme. Experimental outcome indicates that the rationality index of the suggested approach is greater than 0.9, and the land space layout is reasonable, which improves the land utilisation rate. Inderscience Publishers - linking academia, business and industry through research

Title: Spatial layout design of garden landscapes based on a hybrid metaheuristic optimisation algorithm

Authors: Yiting Cheng; Lingfeng Guo; Sikui Ao; Wei Wu

Addresses: Hexiangning College of Art and Design, Zhongkai University of Agriculture and Engineering, Guangzhou, 510000, China ' Hexiangning College of Art and Design, Zhongkai University of Agriculture and Engineering, Guangzhou, 510000, China ' Hexiangning College of Art and Design, Zhongkai University of Agriculture and Engineering, Guangzhou, 510000, China ' Hexiangning College of Art and Design, Zhongkai University of Agriculture and Engineering, Guangzhou, 510000, China

Abstract: As people's demand for high-quality landscaping improves, traditional design methods often face limitations such as difficulty in global optimisation. For this reason, this paper firstly deals with indicators of topographic location index, vegetation coverage and landscape risk index without dimension. A mathematical model of spatial layout is established, and the objective functions of coordination and minimisation of design cost are taken as the constraints. A hybrid genetic ant colony algorithm for landscape layout was designed, and several solutions were derived from the improved genetic algorithm, which were used to initialise the pheromone concentration of the ant colony algorithm. The mathematical model of spatial layout design was solved by continuous iteration to obtain the optimal design scheme. Experimental outcome indicates that the rationality index of the suggested approach is greater than 0.9, and the land space layout is reasonable, which improves the land utilisation rate.

Keywords: landscaping; spatial layout; genetic algorithm; ant colony algorithm; hybrid optimisation algorithm.

DOI: 10.1504/IJRIS.2025.150502

International Journal of Reasoning-based Intelligent Systems, 2025 Vol.17 No.12, pp.13 - 23

Received: 13 Jul 2025
Accepted: 12 Oct 2025
Published online: 15 Dec 2025 *

Title: Spatial layout design of garden landscapes based on a hybrid metaheuristic optimisation algorithm

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