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Computational Collective Intelligence pp 171–181Cite as

InterCriteria Analysis of Parameters Relations in Fermentation Processes Models

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 9330))

Abstract

In this paper the application of InterCriteria Analysis (ICA) is presented. The approach is based on the apparatuses of index matrices and intuitionistic fuzzy sets. ICA is applied to establish the relations and dependencies of defined parameters in non-linear models of Escherichia coli MC4110 and Saccharomyces cerevisiae fermentation processes. Parameter identification of both fed-batch process models has been done using three kinds of genetic algorithms (GA) – standard single population GA (SGA) and two SGA modifications. The obtained results are discussed in the lights of ICA and some conclusions about existing relations and dependencies between model parameters are derived.

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Authors and Affiliations

  1. Institute of Biophysics and Biomedical Engineering, Bulgarian Academy of Science, Sofia, Bulgaria

    Olympia Roeva, Peter Vassilev, Maria Angelova & Tania Pencheva

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

Correspondence to Maria Angelova .

Editor information

Editors and Affiliations

  1. Universidad Complutense de Madrid, Madrid, Spain

    Manuel Núñez

  2. Wroclaw University of Technology, Wroclaw, Poland

    Ngoc Thanh Nguyen

  3. Computer Science Department, Universidad Autónoma De Madrid, Madrid, Spain

    David Camacho

  4. Wroclaw University of Technology, Wroclaw, Poland

    Bogdan Trawiński

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Roeva, O., Vassilev, P., Angelova, M., Pencheva, T. (2015). InterCriteria Analysis of Parameters Relations in Fermentation Processes Models. In: Núñez, M., Nguyen, N., Camacho, D., Trawiński, B. (eds) Computational Collective Intelligence. Lecture Notes in Computer Science(), vol 9330. Springer, Cham. https://doi.org/10.1007/978-3-319-24306-1_17

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  • DOI: https://doi.org/10.1007/978-3-319-24306-1_17

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-24305-4

  • Online ISBN: 978-3-319-24306-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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