Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1029/2019WR026656 |
Improving the effectiveness of multi‐objective optimization design of urban drainage systems | |
Ruozhou Lin; Feifei Zheng; Dragan Savic; Qingzhou Zhang; Xiangen Fang | |
2020-05-08 | |
发表期刊 | Water Resources Research
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出版年 | 2020 |
英文摘要 | Capacity of urban drainage systems (UDSs) can substantially influence flooding properties of urban catchments. This motivates many studies to optimally design UDSs often using multi‐objective evolutionary algorithms (MOEAs) as they can explore trade‐offs between conflicting objectives (e.g., cost versus system reliability). However, MOEA‐based approaches are typically computationally demanding and their solutions are often practically unacceptable as engineering domain knowledge is often not explicitly considered. To address these two issues, this paper proposes an efficient optimization framework for UDS design, where an engineering‐based design method (EBDM) is developed to generate approximate solutions to initialize the MOEA’s search, thereby greatly enhancing the optimization efficiency. To improve the solution practicality, two ideas have been implemented in the proposed optimization method (PM): (i) the variability of peak depths across pipes is minimized, and (ii) a constraint is introduced to ensure that sizes of pipes in the downstream direction are no smaller than their corresponding upstream diameters. Two real‐world UDSs of different size are used to demonstrate the effectiveness of the PM. Results show that: (i) the proposed EBDM is effective in producing initial solutions that are very close to the final solutions identified by the optimization methods, (ii) the minimization of the variability of peak depths in pipes is practically meaningful as it can facilitate to identify solutions with great ability in handling future uncertainties (e.g., rainfall variability), and (iii) the PM significantly improves optimization efficiency and solution practicality compared to the traditional optimization approach, with benefits being more prominent for larger UDSs. |
领域 | 资源环境 |
URL | 查看原文 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/249277 |
专题 | 资源环境科学 |
推荐引用方式 GB/T 7714 | Ruozhou Lin,Feifei Zheng,Dragan Savic,等. Improving the effectiveness of multi‐objective optimization design of urban drainage systems[J]. Water Resources Research,2020. |
APA | Ruozhou Lin,Feifei Zheng,Dragan Savic,Qingzhou Zhang,&Xiangen Fang.(2020).Improving the effectiveness of multi‐objective optimization design of urban drainage systems.Water Resources Research. |
MLA | Ruozhou Lin,et al."Improving the effectiveness of multi‐objective optimization design of urban drainage systems".Water Resources Research (2020). |
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