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The Application and Potential of Multi-Objective Optimization Algorithms in Decision-Making for LID Facilities Layout

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Publicado en:Water Resources Management vol. 38, no. 14 (Nov 2024), p. 5403
Autor principal: Xie, Yuanyuan
Otros Autores: Wang, Haiyan, Wang, Kaiyi, Ge, Xiaoyu, Ying, Xin
Publicado:
Springer Nature B.V.
Materias:
Stormwater
Scientific visualization
Urban environments
Stormwater management
Algorithms
Facilities management
Optimization
Storm runoff
Urban runoff
Environmental risk
Multiple objective analysis
Water management
Stormwater runoff
Decision making
Plant layout
Collaboration
Computer science
Trends
Floods
Landscape architecture
Keywords
Water quality
Bibliometrics
Legal documents
Planning
Genetic algorithms
Water resources
Runoff
Linear programming
Optimization algorithms
Green infrastructure
Economic
Acceso en línea:Citation/Abstract
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Resumen:Low-impact development (LID) practices are critical for mitigating urban stormwater runoff and alleviating flood risks. The strategic placement of LID facilities is paramount to optimizing their efficacy within urban landscapes. This study conducts a comprehensive bibliometric analysis of LID-related literature over the past decade, utilizing data visualization tools to elucidate key disciplines, publication trends, and the prevalence of various optimization algorithms. We delve into the application of multi-objective optimization (MOO) algorithms in LID facility layout, examining their practical applications, theoretical underpinnings, and case studies. The paper also scrutinizes the strengths and limitations of these algorithms, proposing future research trajectories that leverage MOO to enhance LID’s role in urban stormwater management.
ISSN:0920-4741
1573-1650
DOI:10.1007/s11269-024-03926-5
Fuente:ABI/INFORM Global