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Artificial Bee Colony Algorithm for Parameter Identification of Fermentation Process Model

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Applied Physics, System Science and Computers III (APSAC 2018)

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 574 ))

Abstract

In this investigation one of the promising biological-inspired algorithms, namely artificial bee colony (ABC) algorithm, has been adapted and applied for the first time to parameter identification of S. cerevisiae fed-batch fermentation process model. Several pre-tests adjustments of ABC parameters have been done. As a result, from the parameter identification procedures, the effectiveness and efficacy of ABC algorithm in solving such a complex problem as parameter identification of fermentation process model, have been demonstrated. Also, aiming at better understanding of ABC algorithm performance, two main ABC parameters – number of population and maximum cycle number have been investigated.

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Acknowledgements

The work is partially supported by the National Science Fund of Bulgaria under the grants DM 07/1 “Development of New Modified and Hybrid Metaheuristic Algorithms” and DN02/10 “New Instruments for Knowledge Discovery from Data, and Their Modelling”.

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Authors and Affiliations

  1. Institute of Biophysics and Biomedical Engineering, Bulgarian Academy of Sciences, 105 Acad. G. Bonchev Str., Sofia, 1113, Bulgaria

    Maria Angelova, Olympia Roeva & Tania Pencheva

Authors
  1. Maria Angelova
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  2. Olympia Roeva
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  3. Tania Pencheva
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Corresponding author

Correspondence to Maria Angelova .

Editor information

Editors and Affiliations

  1. Department of Marketing, University of Applied Sciences, Athens, Greece

    Klimis Ntalianis

  2. School of Electrical and Computer Engineering, The Georgia Institute of Technology, Atlanta, GA, USA

    George Vachtsevanos

  3. Ecole Central de Lille, Lille, France

    Pierre Borne

  4. Faculty of Mathematics, Alexandru Ioan Cuza University, Iasi, Romania

    Anca Croitoru

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Angelova, M., Roeva, O., Pencheva, T. (2019). Artificial Bee Colony Algorithm for Parameter Identification of Fermentation Process Model. In: Ntalianis, K., Vachtsevanos, G., Borne, P., Croitoru, A. (eds) Applied Physics, System Science and Computers III. APSAC 2018. Lecture Notes in Electrical Engineering, vol 574 . Springer, Cham. https://doi.org/10.1007/978-3-030-21507-1_44

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