.png){kind=icon}
返回
Adaptive Multipopulation Evolutionary Algorithm for Contamination Source Identification in Water Distribution Systems
.png){kind=icon}
OA
AI
DOI：10.1061/(ASCE)WR.1943-5452.0001362.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
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 through these observed data due to the real-time, nonuniqueness, and large-scale characteristics. To address the real-time and nonuniqueness challenges, we propose an adaptive multipopulation evolutionary optimization algorithm to determine the real-time characteristics of contamination sources, where each population aims to locate and track a different global optimum. The algorithm adaptively adjusts the number of populations using a feedback learning mechanism. To effectively locate an optimal solution for a population, a coevolutionary strategy is used to identify the location and the injection profile separately. Experimental results from three WDS networks show that the proposed algorithm is competitive in comparison with three other state-of-the-art evolutionary algorithms.
Keyword:
Multipopulation adaptation
Dynamic bilevel optimization
Evolutionary computation
Contamination source identification
期刊
IF:
4.7
论文数:
8.1K
被引数:
1.6W
机构
引用论文
A coupled classification - Evolutionary optimization model for contamination event detection in water distribution systems.png)
WATER RESEARCH
WATER RESEARCHIF12.4
PREAI
分享收藏Highly responsive and stable Y3+ doped NiMg–ferrite thick films as an efficient humidity sensor
PREAI
分享收藏Differential Evolution Algorithm With Strategy Adaptation for Global Numerical Optimization求解全局数值优化问题的策略自适应差分进化算法OAAI
OAAI分享收藏A General Framework of Multipopulation Methods with Clustering in Undetectable Dynamic EnvironmentsOAAI
OAAI分享收藏Localization of Contamination Sources in Drinking Water Distribution Systems: A Method Based on Successive Positive Readings of Sensors饮用水分配系统中污染源的定位: 一种基于传感器连续正读数的方法
PREAI
分享收藏
查看更多内容