Journal of Engineering, Project, and Production Management, 2026, 16(6), 2025-264
Multi-Objective Layout Method of Landscape Sponge Facilities Based on SWMM-MOPSO
1 Lecturer,
Asset Management Department, Zhangjiajie College, Zhangjiajie, 427000,
China, E-Mail: dujiasn@outlook.com (corresponding author).
2 Associate Professor, School of
Literature, Zhangjiajie College, Zhangjiajie, 427000, China
Project Management
Received November 10, 2025; revised December 21, 2025; December 22, 2025; accepted June 25, 2026
Available online July 2, 2026
Abstract: The layout of sponge facilities in landscape architecture requires consideration of multiple objectives, including balancing hydrology, cost, and ecology. Traditional experiential planning lacks precise quantitative analysis, making it difficult to achieve an optimal balance and limiting the scientific rigor and refinement of the planning process. To address this issue, a multi-objective layout model, SMA-LM, for landscape sponge facilities is proposed. SMA-LM integrates Storm Water Management Model (SWMM) for hydrological simulation, Multi-Objective Particle Swarm Optimization (MOPSO) for optimization, and Analytic Hierarchy Process (AHP) for decision-making. This study presents the first framework to couple the refined hydrological simulation of Storm Water Management Model (SWMM) with an improved MOPSO algorithm that utilizes an adaptive grid strategy, which is subsequently integrated with Analytic Hierarchy Process (AHP) for decision-making. The model performance test showed that the generation distance at the 100th iteration of the research model was 0.20, significantly lower than the comparative model's 0.29. The super volume of the 200th iteration was 380, the diversity index of the solution set was 0.18, and 80 non-dominated solutions were obtained after 1500 calls, demonstrating outstanding efficiency. In simulation applications, the ecological benefit index for urban park scenes could range from 0.65 to 0.92, and the landscape adaptability score could reach 3.2 or higher. The ecological benefit index for campus scenes also ranged from 0.63 to 0.90, and the maintenance convenience score ranged from 3.2 to 4.6, achieving multi-objective collaborative optimization. This study provides a scientific quantitative tool for the precise layout of sponge facilities in landscape architecture, effectively improving the comprehensive efficiency and scientific decision-making of planning schemes, and has important practical application value.
Keywords: Storm Water Management Model (SWMM); Multi-Objective Particle Swarm Optimization Algorithm (MOPSO); landscape architecture; sponge facilities; layout optimization.
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Citation: Du, J., and Zhong, J. (2026). Multi-Objective Layout Method of Landscape Sponge Facilities Based on SWMM-MOPSO. Journal of Engineering, Project, and Production Management, 16(6), 2025-264.
