Parameter Identification of Anaerobic Wastewater Treatment Bioprocesses Using Particle Swarm Optimization

Parameter Identification of Anaerobic Wastewater Treatment Bioprocesses Using Particle Swarm Optimization

This paper deals with the offline parameters identification for a class of wastewater treatment bioprocesses using particle swarm optimization (PSO) techniques. Particle swarm optimization is a relatively new heuristic method that has produced promising results for solving complex optimization probl...

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Main Author: Dorin Sendrescu
Format: Article
Language:English
Published: Hindawi Limited 2013-01-01
Series:Mathematical Problems in Engineering
Online Access:http://dx.doi.org/10.1155/2013/103748
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spelling doaj-0f8cbbd53d9941e198f3d0f1e8c7242e2020-11-25T00:04:51ZengHindawi LimitedMathematical Problems in Engineering1024-123X1563-51472013-01-01201310.1155/2013/103748103748Parameter Identification of Anaerobic Wastewater Treatment Bioprocesses Using Particle Swarm OptimizationDorin Sendrescu0Department of Automatic Control, University of Craiova, A.I. Cuza 13, 200585 Craiova, RomaniaThis paper deals with the offline parameters identification for a class of wastewater treatment bioprocesses using particle swarm optimization (PSO) techniques. Particle swarm optimization is a relatively new heuristic method that has produced promising results for solving complex optimization problems. In this paper one uses some variants of the PSO algorithm for parameter estimation of an anaerobic wastewater treatment process that is a complex biotechnological system. The identification scheme is based on a multimodal numerical optimization problem with high dimension. The performances of the method are analyzed by numerical simulations.http://dx.doi.org/10.1155/2013/103748
collection DOAJ
language English
format Article
sources DOAJ
author Dorin Sendrescu
spellingShingle Dorin Sendrescu
Parameter Identification of Anaerobic Wastewater Treatment Bioprocesses Using Particle Swarm Optimization
Mathematical Problems in Engineering
author_facet Dorin Sendrescu
author_sort Dorin Sendrescu
title Parameter Identification of Anaerobic Wastewater Treatment Bioprocesses Using Particle Swarm Optimization
title_short Parameter Identification of Anaerobic Wastewater Treatment Bioprocesses Using Particle Swarm Optimization
title_full Parameter Identification of Anaerobic Wastewater Treatment Bioprocesses Using Particle Swarm Optimization
title_fullStr Parameter Identification of Anaerobic Wastewater Treatment Bioprocesses Using Particle Swarm Optimization
title_full_unstemmed Parameter Identification of Anaerobic Wastewater Treatment Bioprocesses Using Particle Swarm Optimization
title_sort parameter identification of anaerobic wastewater treatment bioprocesses using particle swarm optimization
publisher Hindawi Limited
series Mathematical Problems in Engineering
issn 1024-123X
1563-5147
publishDate 2013-01-01
description This paper deals with the offline parameters identification for a class of wastewater treatment bioprocesses using particle swarm optimization (PSO) techniques. Particle swarm optimization is a relatively new heuristic method that has produced promising results for solving complex optimization problems. In this paper one uses some variants of the PSO algorithm for parameter estimation of an anaerobic wastewater treatment process that is a complex biotechnological system. The identification scheme is based on a multimodal numerical optimization problem with high dimension. The performances of the method are analyzed by numerical simulations.
url http://dx.doi.org/10.1155/2013/103748
work_keys_str_mv AT dorinsendrescu parameteridentificationofanaerobicwastewatertreatmentbioprocessesusingparticleswarmoptimization
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