An efficient optimization framework for Urban drainage system design

Author:

Cao Truong-Son,Truong Viet-Hung,Nguyen Ngoc-Thang

Abstract

The rapid urbanization process has been putting great pressure on the urban drainage system, which was built a long time ago and is degraded. In this study, an efficient optimization framework for Urban drainage systems is introduced. The design of a drainage network is formulated as an optimization problem, where the total construction costs of the network are minimized by choosing the cross-sections of pipes from a given discrete list. The hydraulic behaviors in the system are predicted by using the 1D sewer software Storm Water Management Model (SWMM). The proposed optimization problem is solved using the Rao algorithm. To demonstrate the efficiency of the proposed framework, an urban drainage system in Chuncheon-si, Gangwon-do, Korea is studied. The numerical results proved that the proposed method is efficient and can be considered an effective tool for managers in building urban infrastructure systems.

Publisher

EDP Sciences

Reference15 articles.

1. Goldberg D. E., Samtani M. P., Engineering optimization via genetic algorithm, Electronic computation ASCE, 471–482 (1986).

2. A New Heuristic Optimization Algorithm: Harmony Search

3. Rao algorithms: Three metaphor-less simple algorithms for solving optimization problems

4. OPTIMAL LAYOUT OF TREE NETWORKS USING GENETIC ALGORITHMS

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3