An ensemble-surrogate assisted cooperative particle swarm optimisation algorithm for water contamination source identification

J Gong, X Yan, C Hu - International Journal of Bio-Inspired …, 2022 - inderscienceonline.com
The safety of water is vital to residents' health. The water supply network system could be
accidentally or intentionally infringe easily, leading to the water contamination. Sensor …

A MapReduce based Parallel Niche Genetic Algorithm for contaminant source identification in water distribution network

C Hu, J Zhao, X Yan, D Zeng, S Guo - Ad Hoc Networks, 2015 - Elsevier
In recent years, water pollution incidents happen frequently, causing serious disasters and
society impact. It is advocated that water quality monitoring sensors shall be deployed in …

[HTML][HTML] Review of urban drinking water contamination source identification methods

J Gong, X Guo, X Yan, C Hu - Energies, 2023 - mdpi.com
When drinking water flows into the water distribution network from a reservoir, it is exposed
to the risk of accidental or deliberate contamination. Serious drinking water pollution events …

Pollution source intelligent location algorithm in water quality sensor networks

X Yan, J Gong, Q Wu - Neural Computing and Applications, 2021 - Springer
Water is the source of human life and water pollution is becoming more and more serious
with the development of cities. The supervision and treatment of water resources have …

Contaminant source identification of water distribution networks using cultural algorithm

X Yan, W Gong, Q Wu - Concurrency and Computation …, 2017 - Wiley Online Library
In recent years, the drinking water pollution incident occurred frequently, a serious threat to
social stability and security. By using the sensor networks real‐time monitoring the urban …

Adaptive multipopulation evolutionary algorithm for contamination source identification in water distribution systems

C Li, R Yang, L Zhou, S Zeng… - Journal of Water …, 2021 - ascelibrary.org
Real-time monitoring of drinking water in a water distribution system (WDS) can effectively
warn of and reduce safety risks. One of the challenges is to identify the contamination source …

Neural network-assisted expensive optimisation algorithm for pollution source rapid positioning of drinking water

Y Hu, X Yan - International Journal of Bio-Inspired …, 2021 - inderscienceonline.com
Pollution source positioning is a complicated problem because urban water supply networks
contain a huge number of nodes and it is also a computationally expensive problem …

Contaminant source identification in water distribution network based on hybrid encoding

X Yan, J Zhao, C Hu, Q Wu - Journal of Computational …, 2016 - content.iospress.com
In recent years, drinking water contamination incidents happen frequently, which is a serious
threat to social stability and security. By placing the sensors for real-time monitoring of water …

DLGEA: a deep learning guided evolutionary algorithm for water contamination source identification

K Qian, J Jiang, Y Ding, SH Yang - Neural Computing and Applications, 2021 - Springer
Water distribution network (WDN) is one of the most essential infrastructures all over the
world and ensuring water quality is always a top priority. To this end, water quality sensors …

Sensors placement in water distribution systems based on co-evolutionary optimization algorithm

C Hu, D Tian, C Liu, X Yan - 2015 1st International Conference …, 2015 - ieeexplore.ieee.org
In recent years, water pollution incidents happen frequently, causing serious disasters and
society impact. It is advocated that water quality monitoring sensors shall be deployed in …