Enhancing the effectiveness of urban drainage system design with an improved ACO-based method

IF 2.4 3区 环境科学与生态学 Q2 ENGINEERING, CIVIL Journal of Hydro-environment Research Pub Date : 2021-09-01 DOI:10.1016/j.jher.2020.11.002
Hang Yin , Feifei Zheng , Huan-Feng Duan , Qingzhou Zhang , Weiwei Bi
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引用次数: 10

Abstract

In the context of climate change and urbanization, urban floods have been one of the major issues around the world, causing significant impacts on the society and environment. To effectively handle these floods, an appropriate design of the urban drainage system (UDS) is highly important as its function can significantly influence the flooding severity and distribution. In recent years, evolutionary algorithms (EAs) have been increasingly used to design UDS due to their great ability in identifying optimal solutions. However, low computational efficiency and low solution practicality (i.e. the final solutions do not satisfy the design criteria) are major challenges for the majority of EA-based methods. To this end, this paper proposes an improved ant colony optimization (ACO, a typical type of EAs) based method to enhance the UDS design effectiveness, where the optimization efficiency is enhanced by initializing the ACO using an approximate design solution identified by the engineering design method, and the solution practicality is improved by explicitly accounting for the design criteria within the optimization using a proposed sampling method. The utility of the proposed method is demonstrated using two real-world UDSs with different system complexities. Results show that the proposed method can identify design solutions with significantly improved efficiency and solution practicality compared to the traditional design approach, with advantages being more prominent for larger UDS design problems. The proposed method can be used by researchers/ practitioners to explore and develop better understanding of the UDS design alternatives under various challenges of climate change and rapid urbanization.

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用改进的aco方法提高城市排水系统设计的有效性
在气候变化和城市化的背景下,城市洪水已成为世界范围内的主要问题之一,对社会和环境造成了重大影响。城市排水系统的功能对洪水的严重程度和分布有重要影响,因此合理设计城市排水系统是有效应对洪水的关键。近年来,进化算法因其识别最优解的能力而被越来越多地应用于UDS的设计中。然而,低计算效率和低解的实用性(即最终解不满足设计标准)是大多数基于ea的方法面临的主要挑战。为此,本文提出了一种基于改进蚁群优化(典型的ea)的方法来提高UDS的设计有效性,其中通过使用工程设计方法识别的近似设计解初始化蚁群优化来提高优化效率,并通过使用所提出的采样方法明确考虑优化中的设计准则来提高解决方案的实用性。使用两个具有不同系统复杂性的实际uds演示了所提出方法的实用性。结果表明,与传统设计方法相比,该方法能够识别出效率和实用性显著提高的设计方案,且在较大的UDS设计问题中优势更为突出。研究人员/从业人员可以使用该方法来探索和更好地理解在气候变化和快速城市化的各种挑战下的UDS设计方案。
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来源期刊
Journal of Hydro-environment Research
Journal of Hydro-environment Research ENGINEERING, CIVIL-ENVIRONMENTAL SCIENCES
CiteScore
5.80
自引率
0.00%
发文量
34
审稿时长
98 days
期刊介绍: The journal aims to provide an international platform for the dissemination of research and engineering applications related to water and hydraulic problems in the Asia-Pacific region. The journal provides a wide distribution at affordable subscription rate, as well as a rapid reviewing and publication time. The journal particularly encourages papers from young researchers. Papers that require extensive language editing, qualify for editorial assistance with American Journal Experts, a Language Editing Company that Elsevier recommends. Authors submitting to this journal are entitled to a 10% discount.
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