Wastewater treatment plants (WWTP) face challenges due to nonlinearity and influent
oscillations. An efficient optimal control system is necessary to improve effluent water quality …

A variety of multi-objective optimization algorithms has been extensively investigated in the
past decades to tackle the optimal decision of sewage treatment process. However …

In this paper, for the operations of wastewater treatment processes (WWTPs), an intelligent
multi-objective optimization control (IMOOC), based on an adaptive multi-objective …

Wastewater treatment process (WWTP) is operated with multiple conditions. Accurately
identify these conditions and satisfy the different requirements are the keys to guarantee the …

In this paper, a novel dynamic optimization control based on multi-objective ant lion
optimization (DMOALO) and deep learning algorithm is proposed, which could optimize …

A dynamic multi-objective optimization control (DMOOC) scheme is proposed in this paper
for the wastewater treatment process (WWTP), which can dynamically optimize the set …

To resolve the conflict between multiple performance indicators in the complicated
wastewater treatment process (WWTP), an effective optimization control scheme based on a …

To achieve excellent treatment performance of complex and time-varying characteristics, the
operation of wastewater treatment process (WWTP) has been considered as a dynamic …

Wastewater treatment plants (WWTPs) are highly complex and nonlinear processes. The
challenge lies in the design of a control strategy to lower the operational costs and to …

In this paper, an improved multiobjective optimal control (MOOC) strategy is developed to
improve the operational efficiency, satisfy the effluent quality (EQ) and reduce the energy …