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Cuckoo Search Approach for Parameter Identification of an Activated Sludge Process
Joint Authors
Sakly, Anis
Khoja, Intissar
Ladhari, Taoufik
M’sahli, Faouzi
Source
Computational Intelligence and Neuroscience
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-01-28
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
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.
American Psychological Association (APA)
Khoja, Intissar& Ladhari, Taoufik& M’sahli, Faouzi& Sakly, Anis. 2018. Cuckoo Search Approach for Parameter Identification of an Activated Sludge Process. Computational Intelligence and Neuroscience،Vol. 2018, no. 2018, pp.1-9.
https://search.emarefa.net/detail/BIM-1130658
Modern Language Association (MLA)
Khoja, Intissar…[et al.]. Cuckoo Search Approach for Parameter Identification of an Activated Sludge Process. Computational Intelligence and Neuroscience No. 2018 (2018), pp.1-9.
https://search.emarefa.net/detail/BIM-1130658
American Medical Association (AMA)
Khoja, Intissar& Ladhari, Taoufik& M’sahli, Faouzi& Sakly, Anis. Cuckoo Search Approach for Parameter Identification of an Activated Sludge Process. Computational Intelligence and Neuroscience. 2018. Vol. 2018, no. 2018, pp.1-9.
https://search.emarefa.net/detail/BIM-1130658
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1130658