The Application and Potential of Multi-Objective Optimization Algorithms in Decision-Making for LID Facilities Layout
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-relate...
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| Published in | Water resources management Vol. 38; no. 14; pp. 5403 - 5417 |
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| Main Authors | , , , , |
| Format | Journal Article |
| Language | English |
| Published |
Dordrecht
Springer Netherlands
01.11.2024
Springer Nature B.V |
| Subjects | |
| Online Access | Get full text |
| ISSN | 0920-4741 1573-1650 |
| DOI | 10.1007/s11269-024-03926-5 |
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| 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. |
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| AbstractList | 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. |
| Author | Ying, Xin Wang, Haiyan Ge, Xiaoyu Wang, Kaiyi Xie, Yuanyuan |
| Author_xml | – sequence: 1 givenname: Yuanyuan surname: Xie fullname: Xie, Yuanyuan organization: School of Information Science and Technology, Beijing Forestry University – sequence: 2 givenname: Haiyan surname: Wang fullname: Wang, Haiyan email: wanghaiyan2008@bjfu.edu.cn organization: School of Information Science and Technology, Beijing Forestry University – sequence: 3 givenname: Kaiyi surname: Wang fullname: Wang, Kaiyi organization: School of Information Science and Technology, Beijing Forestry University – sequence: 4 givenname: Xiaoyu surname: Ge fullname: Ge, Xiaoyu organization: School of Landscape Architecture, Beijing Forestry University – sequence: 5 givenname: Xin surname: Ying fullname: Ying, Xin organization: Beijing BLDJ Landscape Architecture Institute Co., LTD |
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| Title | The Application and Potential of Multi-Objective Optimization Algorithms in Decision-Making for LID Facilities Layout |
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