An improved hybrid community detection algorithm for partitioning of water distribution networks-Reference-Cited by-同舟云学术

An improved hybrid community detection algorithm for partitioning of water distribution networks

Published:2022-12-21 Issue: Volume: Page:1-17
ISSN:0305-215X
Container-title:Engineering Optimization
language:en
Short-container-title:Engineering Optimization

Author:

Shao Yu¹,Liu Jia²,Yao Huaqi¹^ORCID,Zhang Tuqiao¹,Lima Neto Iran E.³^ORCID,Yu Tingchao¹,Chu Shipeng¹

Affiliation:

1. College of Civil Engineering and Architecture, Zhejiang University, Hangzhou, People’s Republic of China

2. Zibo Water Supply Co., Ltd, Zibo, People’s Republic of China

3. Department of Hydraulic and Environmental Engineering, Federal University of Ceará, Fortaleza, CE, Brazil

Funder

National Natural Science Foundation of China

Publisher

Informa UK Limited

Subject

Applied Mathematics,Industrial and Manufacturing Engineering,Management Science and Operations Research,Control and Optimization,Computer Science Applications

Link

https://www.tandfonline.com/doi/pdf/10.1080/0305215X.2022.2155148

Reference38 articles.

1. Fast unfolding of communities in large networks

2. Social Network Community Detection and Hybrid Optimization for Dividing Water Supply into District Metered Areas

3. Water Network Partitioning into District Metered Areas: A State-Of-The-Art Review

4. Optimal Design of District Metered Areas in a Water Distribution Network Using Coupled Self-Organizing Map and Community Structure Algorithm

5. Adaptive DMA Design and Operation under Multiscenarios in Water Distribution Networks

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