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

Yuanyuan Xie, Haiyan Wang (), Kaiyi Wang, Xiaoyu Ge and Xin Ying
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Yuanyuan Xie: Beijing Forestry University
Haiyan Wang: Beijing Forestry University
Kaiyi Wang: Beijing Forestry University
Xiaoyu Ge: Beijing Forestry University
Xin Ying: Beijing BLDJ Landscape Architecture Institute Co., LTD

Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), 2024, vol. 38, issue 14, No 1, 5403-5417

Abstract: Abstract 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.

Keywords: Low-impact Development; Algorithm Optimization; Multi-objective Optimization; Genetic Algorithms; Layout Decision (search for similar items in EconPapers)
Date: 2024
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DOI: 10.1007/s11269-024-03926-5

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