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  1. 1
    Application of genetic algorithms to model parameter identification of a recombinant e.coli high-cell density fed-batch fermentation / Kamaruddin Mamat and Farida Zuraina Mohd Yusof

    Application of genetic algorithms to model parameter identification of a recombinant e.coli high-cell density fed-batch fermentation / Kamaruddin Mamat and Farida Zuraina Mohd Yuso... by Mamat, Kamaruddin, Mohd Yusof, Farida Zuraina

    Published 2008
    “…In this work, a genetic algorithm was used to estimate both yield and kinetic coefficients of an unstructured model representing a fed-batch high-cell density fermentation of Escherichia coli (E. coli). …”
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  2. 2
    Application of genetic algorithms to model parameter identification of a recombinant e.coli high-cell density fedbatch fermentation / Kamaruddin Mamat and Farida Zuraina Mohd Yusof

    Application of genetic algorithms to model parameter identification of a recombinant e.coli high-cell density fedbatch fermentation / Kamaruddin Mamat and Farida Zuraina Mohd Yusof by Mamat, Kamaruddin, Mohd Yusof, Farida Zuraina

    Published 2008
    “…In this work, a genetic algorithm was used to estimate both yield and kinetic coefficients of an unstructured model representing a fed-batch high-cell density fermentation of Escherichia coli (E.coli). …”
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  3. 3
    Optimization of Ethanol Production Process from Sugarcane Bagasse using Genetic Algorithm

    Optimization of Ethanol Production Process from Sugarcane Bagasse using Genetic Algorithm by Garang, Jacob Chol

    Published 2015
    “…This research was focused on the optimization of ethanol production from sugarcane bagasse using genetic algorithm (GA). The relationship between the process variables were modelled by Response Surface Methodology (RSM) and found that the maximum ethanol concentration to be 17.44 g/l. …”
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  4. 4
    Optimization of fermentation medium components by response surface methodology (RSM) and artificial neural network hybrid with genetic algorithm (ANN-GA) for lipase production by Burkholderia cenocepacia ST8 using used automotive engine oil as substrate

    Optimization of fermentation medium components by response surface methodology (RSM) and artificial neural network hybrid with genetic algorithm (ANN-GA) for lipase production by B... by Lau, Hui-Lane, Faizal Wong, Fadzlie Wong, Raja Abd Rahman, Raja Noor Zaliha, Mohamed, Mohd Shamzi, Ariff, Arbakariya, Hii, Siew-Ling

    Published 2023
    “…Tween 80 and nutrient broth concentrations were the most important variables influencing the lipase production. The findings of this study indicated that the ANN-GA and RSM could be useful for effective optimization of the fermentation medium for enzyme production.…”
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  5. 5
    Parametric Optimization for the Maximization of Hydrogen Production by Enterobacter Cloacae

    Parametric Optimization for the Maximization of Hydrogen Production by Enterobacter Cloacae by Saidin, Mohamad Shakir Amri

    Published 2015
    “…Enterobacter cloacae are used as the bacteria to be fermented in the nutrient broth. …”
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  6. 6
    Development of Fermentation Technique for High Cell Density Cultivation of Baker's Yeast (Saccharomyces Cerevisae)

    Development of Fermentation Technique for High Cell Density Cultivation of Baker's Yeast (Saccharomyces Cerevisae) by Ahmad Ariff

    Published 2005
    “…The fermenter equipped with the multifermenter control system (MFCS) was used in exponential fedbatch fermentation to control the feeding rate of the glucose to the culture according to the proposed algorithm. …”
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  7. 7
    Stochastic Modelling Of Bioethanol Fermentation By Saccharomyces Cerevisiae Grown In Oil Palm Residues

    Stochastic Modelling Of Bioethanol Fermentation By Saccharomyces Cerevisiae Grown In Oil Palm Residues by Samsudin , Mohd Dinie Muhaimin

    Published 2015
    “…However, this result might differ if it is to be reduplicated due to heterogeneity of OPT sap and POME as well as variability in Baker’s yeast’s performance. Therefore, a predictability test was carried out using Monte Carlo algorithm. …”
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  8. 8
    Rank-based optimal neural network architecture for dissolved oxygen prediction in a 200L bioreactor

    Rank-based optimal neural network architecture for dissolved oxygen prediction in a 200L bioreactor by Mamat, Nor Hana, Mohd Noor, Samsul Bahari, Che Soh, Azura, Taip, Farah Saleena, Ab Rashid, Ahmad Hazri, Jufika Ahmad, Nur Liyana, Mohd Yusuff, Ishak

    Published 2017
    “…The backpropagation neural network model with Lavenberg Marquardt learning algorithm was developed using 1476 samples real process dataset obtained from a fermentation process in a 200L bioreactor. …”
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