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Improving the Effectiveness of Multiobjective Optimization Design of Urban Drainage Systems
Water Resources Research ( IF 5.4 ) Pub Date : 2020-06-29 , DOI: 10.1029/2019wr026656
Ruozhou Lin 1 , Feifei Zheng 1 , Dragan Savic 2, 3 , Qingzhou Zhang 1 , Xiangen Fang 1
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Capacity of urban drainage systems (UDSs) can substantially influence flooding properties of urban catchments. This motivates many studies to optimally design UDSs often using multiobjective evolutionary algorithms (MOEAs) as they can explore trade‐offs between conflicting objectives (e.g., cost vs. 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.

中文翻译:

提高城市排水系统多目标优化设计的有效性

城市排水系统(UDS)的容量会在很大程度上影响城市集水区的洪水特性。这促使许多研究经常使用多目标进化算法(MOEA)来优化设计UDS,因为它们可以探索冲突目标之间的权衡(例如成本与系统可靠性)。但是,基于MOEA的方法通常需要进行计算,并且其解决方案通常在实践中是不可接受的,因为通常不会明确考虑工程领域的知识。为解决这两个问题,本文提出了一种有效的UDS设计优化框架,该框架开发了基于工程的设计方法(EBDM)来生成近似解以初始化MOEA的搜索,从而大大提高了优化效率。为了提高解决方案的实用性,提出的优化方法(PM)中已实现了两种思路:(i)最小化跨管道峰值深度的变异性;(ii)引入约束条件以确保下游方向的管道尺寸不小于其相应管道的尺寸上游直径。使用两个不同大小的实际UDS来演示PM的有效性。结果表明(i)拟议中的EBDM可有效地产生与最优化方法确定的最终解决方案非常接近的初始解决方案;(ii)最小化管道中峰深的变化具有实际意义,因为它可以促进找出具有处理未来不确定性(例如降雨多变性)的强大能力的解决方案,
更新日期:2020-06-29
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