Optimal strategies evaluated by multi-objective optimization method for improving the performance of a novel cycle operating activated sludge process

Chen, Wenliang; Lü, Xiwu; Yao, Chonghua

doi:10.1016/j.cej.2014.08.087

Cited by 18 publications

(4 citation statements)

References 34 publications

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“…In this work, the authors included the idea of excess sludge incineration to produce energy. Chen et al [9] tested different control strategies in an activated sludge plant using the SA 2 /OCM process to simultaneously optimize the effluent quality and the operational costs. A recent contribution [40] analyzed the dynamic set-point controller profiles in a WWTP by multi-objective optimization.…”

Section: Abstract Wastewater Treatment Plant • Multiobjective Optimiz...mentioning

confidence: 99%

Multiplicity of solutions in model-based multiobjective optimization of wastewater treatment plants

et al. 2020

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Wastewater treatment process design involves the optimization of multiple conflicting objectives. The detection of different equivalent solutions in terms of objective values is crucial for designers in order to efficiently switch to the new optimal operation policies if changes in the process conditions or new constraints occur. In this work, the dynamic multi-objective optimization of a municipal wastewater treatment plant model is carried out. The aim is to simultaneously optimize an economic cost term and an effluent quality index. The selected process variables for the optimization are i) an aeration factor in the aerated tank previous to the clarifier, and ii) an internal recycle flow

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Section: Abstract Wastewater Treatment Plant • Multiobjective Optimiz...mentioning

confidence: 99%

Multiplicity of solutions in model-based multiobjective optimization of wastewater treatment plants

et al. 2020

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“…But the method has three disadvantages: (1) UFM algorithm only considers leaf nodes during matching process, without using any information of the intermediate nodes; (2) it is sensitive to the inaccuracy of the number of segments; (3) weight coefficients m i A and m i B need to be set artificially. In Fig.…”

Section: Matching Of Region With Fuzzy Details Of Multimedia Image Bamentioning

confidence: 99%

“…Due to limitations of noise, moving targets and imaging equipment, gray distortion and the distortion exist in the matched multimedia image, leading to fuzzy details in partial regions in the multimedia image, the so-called fuzzy detail is that multimedia image pixels located adjacent to the segmentation edge may belong to this region or a separate area. The content of the regions in these multimedia image is fuzzy [2,5,6,17]. Therefore, the research on high precision matching method that has a good anti noise ability [1,11,12,18,25], the ability of resisting geometric deformation, and improves the fuzzy details, while finishing the real-time processing has become a difficult problem to be solved [3,4,7,9,24].…”

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confidence: 99%

Research on high precision matching optimization method and software testing analysis of regions with fuzzy details of multimedia images in cloud environment

Liu

2016

Multimed Tools Appl

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Aiming for the low matching precision caused by the inaccurate segmentation of the region with fuzzy details when traditional methods are used for the matching of regions with fuzzy details in the multimedia images, a new high precision matching optimization method for regions with fuzzy details of multimedia images in cloud environment is proposed, LPP feature of the region with fuzzy details is extracted to calculate the similarity of features; using binary tree segmentation algorithm to segment the multimedia image region, through the combination of UFM improved algorithm and fuzzy binary tree structure to achieve the matching of fuzzy region based on fuzzy similarity, the optimized matching method is programmed, afterwards, the software is tested. The experimental results show that the proposed method has high matching accuracy.

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“…Multiobjective optimization problems are common in different areas and appear in the chemical engineering field with high frequency. − For example, multiobjective optimization procedures (MOP’s) have already been used for polymer synthesis, controller design, and design of hydrogen processes, among many other examples. For this reason, MOP’s have been widely studied lately.…”

Section: Introductionmentioning

confidence: 99%

New Decision Making Criterion for Multiobjective Optimization Problems

Lemos

Lima

Pinto

2018

Ind. Eng. Chem. Res.

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This work presents a new decision making criterion for analysis of multiobjective optimization problems, based on the evaluation of the optimum solutions in the Pareto set. This new technique allows for discrimination among the solutions that constitute the Pareto set, so that a single alternative (the least sensitive one) is selected for real implementation. In order to do that, the effects of process uncertainties on the variable responses are analyzed individually, with the help of the process model, and used to compute a sensitivity index. The proposed technique was applied to three distinct problems, and the obtained results showed that the method is able to discriminate the solutions successfully, allowing for appropriate selection of the best candidates for real implementation among the many candidates in the Pareto set.

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Optimal strategies evaluated by multi-objective optimization method for improving the performance of a novel cycle operating activated sludge process

Cited by 18 publications

References 34 publications

Multiplicity of solutions in model-based multiobjective optimization of wastewater treatment plants

Multiplicity of solutions in model-based multiobjective optimization of wastewater treatment plants

Research on high precision matching optimization method and software testing analysis of regions with fuzzy details of multimedia images in cloud environment

New Decision Making Criterion for Multiobjective Optimization Problems

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