Cuckoo Search Approach for Parameter Identification of an Activated Sludge Process

Cuckoo Search Approach for Parameter Identification of an Activated Sludge Process

A parameter identification problem for a hybrid model is presented. The latter describes the operation of an activated sludge process used for waste water treatment. Parameter identification problem can be considered as an optimization one by minimizing the error between simulation and experimental...

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Main Authors: Intissar Khoja, Taoufik Ladhari, Faouzi M’sahli, Anis Sakly
Format: Article
Language:English
Published: Hindawi Limited 2018-01-01
Series:Computational Intelligence and Neuroscience
Online Access:http://dx.doi.org/10.1155/2018/3476851
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spelling doaj-f9e3e32237e44378946e8032054df54d2020-11-24T21:35:49ZengHindawi LimitedComputational Intelligence and Neuroscience1687-52651687-52732018-01-01201810.1155/2018/34768513476851Cuckoo Search Approach for Parameter Identification of an Activated Sludge ProcessIntissar Khoja0Taoufik Ladhari1Faouzi M’sahli2Anis Sakly3Industrial Systems Study and Renewable Energy Unit, National Engineering School of Monastir, University of Monastir, Ibn El Jazzar Street, Skanes, 5019 Monastir, TunisiaIndustrial Systems Study and Renewable Energy Unit, National Engineering School of Monastir, University of Monastir, Ibn El Jazzar Street, Skanes, 5019 Monastir, TunisiaIndustrial Systems Study and Renewable Energy Unit, National Engineering School of Monastir, University of Monastir, Ibn El Jazzar Street, Skanes, 5019 Monastir, TunisiaIndustrial Systems Study and Renewable Energy Unit, National Engineering School of Monastir, University of Monastir, Ibn El Jazzar Street, Skanes, 5019 Monastir, TunisiaA parameter identification problem for a hybrid model is presented. The latter describes the operation of an activated sludge process used for waste water treatment. Parameter identification problem can be considered as an optimization one by minimizing the error between simulation and experimental data. One of the new and promising metaheuristic methods for solving similar mathematical problem is Cuckoo Search Algorithm. It is inspired by the parasitic brood behavior of cuckoo species. To confirm the effectiveness and the efficiency of the proposed algorithm, simulation results will be compared with other algorithms, firstly, with a classical method which is the Nelder-Mead algorithm and, secondly, with intelligent methods such as Genetic Algorithm and Particle Swarm Optimization approaches.http://dx.doi.org/10.1155/2018/3476851
collection DOAJ
language English
format Article
sources DOAJ
author Intissar Khoja
Taoufik Ladhari
Faouzi M’sahli
Anis Sakly
spellingShingle Intissar Khoja
Taoufik Ladhari
Faouzi M’sahli
Anis Sakly
Cuckoo Search Approach for Parameter Identification of an Activated Sludge Process
Computational Intelligence and Neuroscience
author_facet Intissar Khoja
Taoufik Ladhari
Faouzi M’sahli
Anis Sakly
author_sort Intissar Khoja
title Cuckoo Search Approach for Parameter Identification of an Activated Sludge Process
title_short Cuckoo Search Approach for Parameter Identification of an Activated Sludge Process
title_full Cuckoo Search Approach for Parameter Identification of an Activated Sludge Process
title_fullStr Cuckoo Search Approach for Parameter Identification of an Activated Sludge Process
title_full_unstemmed Cuckoo Search Approach for Parameter Identification of an Activated Sludge Process
title_sort cuckoo search approach for parameter identification of an activated sludge process
publisher Hindawi Limited
series Computational Intelligence and Neuroscience
issn 1687-5265
1687-5273
publishDate 2018-01-01
description A parameter identification problem for a hybrid model is presented. The latter describes the operation of an activated sludge process used for waste water treatment. Parameter identification problem can be considered as an optimization one by minimizing the error between simulation and experimental data. One of the new and promising metaheuristic methods for solving similar mathematical problem is Cuckoo Search Algorithm. It is inspired by the parasitic brood behavior of cuckoo species. To confirm the effectiveness and the efficiency of the proposed algorithm, simulation results will be compared with other algorithms, firstly, with a classical method which is the Nelder-Mead algorithm and, secondly, with intelligent methods such as Genetic Algorithm and Particle Swarm Optimization approaches.
url http://dx.doi.org/10.1155/2018/3476851
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AT taoufikladhari cuckoosearchapproachforparameteridentificationofanactivatedsludgeprocess
AT faouzimsahli cuckoosearchapproachforparameteridentificationofanactivatedsludgeprocess
AT anissakly cuckoosearchapproachforparameteridentificationofanactivatedsludgeprocess
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