Optimization of Water Distribution Systems Using Online Retrained Metamodels-Reference-Cited by-同舟云学术

Optimization of Water Distribution Systems Using Online Retrained Metamodels

Published:2014-11 Issue:11 Volume:140 Page:04014032
ISSN:0733-9496
Container-title:Journal of Water Resources Planning and Management
language:en
Short-container-title:J. Water Resour. Plann. Manage.

Author:

Bi Weiwei¹,Dandy Graeme C.²

Affiliation:

1. Ph.D. Student, School of Civil, Environmental and Mining Engineering, Univ. of Adelaide, Adelaide, SA 5005, Australia (corresponding author).

2. Professor, School of Civil, Environmental and Mining Engineering, Univ. of Adelaide, Adelaide, SA 5005, Australia.

Publisher

American Society of Civil Engineers (ASCE)

Subject

Management, Monitoring, Policy and Law,Water Science and Technology,Geography, Planning and Development,Civil and Structural Engineering

Link

http://ascelibrary.org/doi/pdf/10.1061/%28ASCE%29WR.1943-5452.0000419

Reference23 articles.

1. Stochastic sampling design using a multi-objective genetic algorithm and adaptive neural networks

2. Water Distribution System Optimization Using Metamodels

3. Optimal Operation of Complex Water Distribution Systems Using Metamodels

4. An Improved Genetic Algorithm for Pipe Network Optimization

5. Dandy G. C. Wilkins A. and Rohrlach H. (2010). “A methodology for comparing evolutionary algorithms for optimizing water distribution systems.” Proc. 12th Water Distribution System Analysis Symp. ASCE Reston VA.

Cited by 35 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Towards transferable metamodels for water distribution systems with edge-based graph neural networks;Water Research;2024-09

2. A graph-based method for identifying critical pipe failure combinations in water distribution networks;Water Supply;2024-06-18

3. Real-time water quality prediction in water distribution networks using graph neural networks with sparse monitoring data;Water Research;2024-02

4. Assessing the performances and transferability of graph neural network metamodels for water distribution systems;Journal of Hydroinformatics;2023-10-17

5. Optimization of Water Distribution Systems Using Genetic Algorithms: A Review;Archives of Computational Methods in Engineering;2023-05-31