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Contaminant source identification of water distribution networks using cultural algorithm

  • Published:2017-06-29 Issue:24 Volume:29 Page:e4230
  • ISSN:1532-0626
  • Container-title:Concurrency and Computation: Practice and Experience
  • language:en
  • Short-container-title:Concurrency Computat: Pract Exper

Author:

Yan Xuesong1ORCID,Gong Wenyin1,Wu Qinghua2

Affiliation:

1. School of Computer Science; China University of Geosciences; Wuhan 430074 Hubei China

2. Faculty of Computer Science and Engineering; Wuhan Institute of Technology; Wuhan 430205 Hubei China

Funder

National Natural Science Foundation of China

Publisher

Wiley

Subject

Computational Theory and Mathematics,Computer Networks and Communications,Computer Science Applications,Theoretical Computer Science,Software

Reference50 articles.

1. A variable threshold-value authentication architecture for wireless mesh networks;Guo;Journal of Internet Technology,2014

2. Construction of tree network with limited delivery latency in homogeneous wireless sensor networks;Xie;Wireless personal communications,2014

3. Energy minimization in multi-task software-defined sensor networks;Zeng;IEEE Transactions on Computers,2015

4. A survey on sensor placement for contamination detection in water distribution systems;Hu;Wireless Networks,2016

5. Energy minimization in multi-task software-defined sensor networks;Zeng;IEEE Transactions on Computers,2015

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1. Detecting and locating chemical intrusion in water distribution systems using 911 calls;Journal of Hydroinformatics;2024-03-27

2. Using data mining techniques to isolate chemical intrusion in water distribution systems;Environmental Monitoring and Assessment;2022-02-19

3. An ensemble-surrogate assisted cooperative particle swarm optimisation algorithm for water contamination source identification;International Journal of Bio-Inspired Computation;2022

4. Applications of Cultural Algorithms in Engineering;Engineering Optimization: Methods and Applications;2022

5. Cultural Algorithms (CAs);Engineering Optimization: Methods and Applications;2022
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