Dynamic multi-objective optimization control for wastewater treatment process under various operating conditions

Operating conditions in wastewater treatment processes (WWTP) are subject to dynamic changes. To enhance energy consumption (EC) and effluent quality (EQ) under varying operating conditions, this paper proposes the strategy of Dynamic Multi-Objective Optimization Control (DMOC). Firstly, the k-shape...

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Veröffentlicht in:	International journal of machine learning and cybernetics Jg. 16; H. 10; S. 8295 - 8309
Hauptverfasser:	Deng, Xin, Xie, Xiaoyu, Huang, Linyu, Ning, Qian
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Berlin/Heidelberg Springer Berlin Heidelberg 01.10.2025 Springer Nature B.V
Schlagworte:	Algorithms Artificial Intelligence Chemical oxygen demand Complex Systems Computational Intelligence Control Control systems design Denitrification Emission standards Emissions Energy consumption Engineering Greenhouse gases Kalman filters Kernel functions Mechatronics Multiple objective analysis Nitrogen Optimization algorithms Original Article Particle swarm optimization Pattern Recognition Robotics Systems Biology Variables Wastewater treatment Water quality Multi-objective particle swarm optimization Multiple operating conditions Wastewater treatment process Dynamic optimal control K-shape clustering
ISSN:	1868-8071, 1868-808X
Online-Zugang:	Volltext
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