Parameter estimation of activated sludge process based on an improved cuckoo search algorithm

Parameter estimation of activated sludge process based on an improved cuckoo search algorithm Bioresource Technology 249 (2018) 447–456 Contents lists available at ScienceDirect Bioresource Technology journal homepage: www.elsevier.com/locate/biortech Parameter estimation of activated sludge process based on an improved cuckoo search algorithm a,b,c,d a,c,d b, e Xianjun Du , Junlu Wang , Veeriah Jegatheesan , Guohua Shi College of Electrical and Information Engineering, Lanzhou University of Technology, Lanzhou 730050, China School of Engineering, RMIT University, Melbourne 3000, Australia Key Laboratory of Gansu Advanced Control for Industrial Processes, Lanzhou University of Technology, Lanzhou 730050, China National Demonstration Center for Experimental Electrical and Control Engineering Education, Lanzhou University of Technology, Lanzhou 730050, China Department of Energy and Power Engineering, North China Electric Power University, Baoding, Hebei 071003, China GR APHICAL A BSTRACT ARTICLE I NFO ABSTRACT Keywords: It is essential to use appropriate values for kinetic parameters in activated sludge model when the model is Activated sludge process applied for wastewater treatment processes under different environments. An improved cuckoo search (ICS) ASM1 algorithm was proposed in this paper for the estimation of kinetic parameters used in Activated Sludge Model Cuckoo search algorithm No. 1 (ASM1). ICS is tested for its speed and accuracy in reaching solution by searching global minima of six Parameter estimation standard http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Bioresource Technology Elsevier

Parameter estimation of activated sludge process based on an improved cuckoo search algorithm

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Publisher
Elsevier
Copyright
Copyright © 2017 Elsevier Ltd
ISSN
0960-8524
D.O.I.
10.1016/j.biortech.2017.10.023
Publisher site
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Abstract

Bioresource Technology 249 (2018) 447–456 Contents lists available at ScienceDirect Bioresource Technology journal homepage: www.elsevier.com/locate/biortech Parameter estimation of activated sludge process based on an improved cuckoo search algorithm a,b,c,d a,c,d b, e Xianjun Du , Junlu Wang , Veeriah Jegatheesan , Guohua Shi College of Electrical and Information Engineering, Lanzhou University of Technology, Lanzhou 730050, China School of Engineering, RMIT University, Melbourne 3000, Australia Key Laboratory of Gansu Advanced Control for Industrial Processes, Lanzhou University of Technology, Lanzhou 730050, China National Demonstration Center for Experimental Electrical and Control Engineering Education, Lanzhou University of Technology, Lanzhou 730050, China Department of Energy and Power Engineering, North China Electric Power University, Baoding, Hebei 071003, China GR APHICAL A BSTRACT ARTICLE I NFO ABSTRACT Keywords: It is essential to use appropriate values for kinetic parameters in activated sludge model when the model is Activated sludge process applied for wastewater treatment processes under different environments. An improved cuckoo search (ICS) ASM1 algorithm was proposed in this paper for the estimation of kinetic parameters used in Activated Sludge Model Cuckoo search algorithm No. 1 (ASM1). ICS is tested for its speed and accuracy in reaching solution by searching global minima of six Parameter estimation standard

Journal

Bioresource TechnologyElsevier

Published: Feb 1, 2018

References

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