Optimization of E. coli Cultivation Model Parameters Using Firefly Algorithm

In this paper, a novel meta-heuristics algorithm, namely the Firefly Algorithm (FA), is adapted and applied for a model parameter identification of an E. coli fed-batch cultivation process. A system of ordinary nonlinear differential equations is used to model the biomass growth and substrate utiliz...

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Main Author: Olympia Roeva
Format: Article
Language:English
Published: Bulgarian Academy of Sciences 2012-04-01
Series:International Journal Bioautomation
Subjects:
Online Access:http://www.clbme.bas.bg/bioautomation/2012/vol_16.1/files/16.1_03.pdf
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author Olympia Roeva
Olympia Roeva
author_facet Olympia Roeva
Olympia Roeva
author_sort Olympia Roeva
collection DOAJ
description In this paper, a novel meta-heuristics algorithm, namely the Firefly Algorithm (FA), is adapted and applied for a model parameter identification of an E. coli fed-batch cultivation process. A system of ordinary nonlinear differential equations is used to model the biomass growth and substrate utilization. Parameter optimization is performed using real experimental data set from an E. coli MC4110 fed-batch cultivation process. The FA adjustments are done based on several pre-tests according to the optimization problem considered here. The simulation results indicate that the applied algorithm is effective and efficient. As a result, a model with high degree of accuracy is obtained applying the FA.
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spelling doaj.art-c3e88fbc94084f0ebb2e6f62213a59ac2022-12-22T00:21:59ZengBulgarian Academy of SciencesInternational Journal Bioautomation1314-19021314-23212012-04-011612332Optimization of E. coli Cultivation Model Parameters Using Firefly AlgorithmOlympia RoevaOlympia RoevaIn this paper, a novel meta-heuristics algorithm, namely the Firefly Algorithm (FA), is adapted and applied for a model parameter identification of an E. coli fed-batch cultivation process. A system of ordinary nonlinear differential equations is used to model the biomass growth and substrate utilization. Parameter optimization is performed using real experimental data set from an E. coli MC4110 fed-batch cultivation process. The FA adjustments are done based on several pre-tests according to the optimization problem considered here. The simulation results indicate that the applied algorithm is effective and efficient. As a result, a model with high degree of accuracy is obtained applying the FA.http://www.clbme.bas.bg/bioautomation/2012/vol_16.1/files/16.1_03.pdfOptimizationFirefly algorithmE. coli cultivationIdentificationModel parameters
spellingShingle Olympia Roeva
Olympia Roeva
Optimization of E. coli Cultivation Model Parameters Using Firefly Algorithm
International Journal Bioautomation
Optimization
Firefly algorithm
E. coli cultivation
Identification
Model parameters
title Optimization of E. coli Cultivation Model Parameters Using Firefly Algorithm
title_full Optimization of E. coli Cultivation Model Parameters Using Firefly Algorithm
title_fullStr Optimization of E. coli Cultivation Model Parameters Using Firefly Algorithm
title_full_unstemmed Optimization of E. coli Cultivation Model Parameters Using Firefly Algorithm
title_short Optimization of E. coli Cultivation Model Parameters Using Firefly Algorithm
title_sort optimization of e coli cultivation model parameters using firefly algorithm
topic Optimization
Firefly algorithm
E. coli cultivation
Identification
Model parameters
url http://www.clbme.bas.bg/bioautomation/2012/vol_16.1/files/16.1_03.pdf
work_keys_str_mv AT olympiaroeva optimizationofecolicultivationmodelparametersusingfireflyalgorithm
AT olympiaroeva optimizationofecolicultivationmodelparametersusingfireflyalgorithm