LAPSE:2020.1195
Published Article
LAPSE:2020.1195
Water Cycle Algorithm for Modelling of Fermentation Processes
December 17, 2020
The water cycle algorithm (WCA), which is a metaheuristic method inspired by the movements of rivers and streams towards the sea in nature, has been adapted and applied here for the first time for solving such a challenging problem as the parameter identification of fermentation process (FP) models. Bacteria and yeast are chosen as representatives of FP models that are subjected to parameter identification due to their impact in different industrial fields. In addition, WCA is considered in comparison with the genetic algorithm (GA), which is another population-based technique that has been proved to be a promising alternative of conventional optimisation methods. The obtained results have been thoroughly analysed in order to outline the advantages and disadvantages of each algorithm when solving such a complicated real-world task. A discussion and a comparative analysis of both metaheuristic algorithms reveal the impact of WCA on model identification problems and show that the newly applied WCA outperforms GA with regard to the model accuracy.
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Keywords
fed-batch fermentation processes, Genetic Algorithm, parameter identification, water cycle algorithm
Subject
Suggested Citation
Roeva O, Angelova M, Zoteva D, Pencheva T. Water Cycle Algorithm for Modelling of Fermentation Processes. (2020). LAPSE:2020.1195
Author Affiliations
Roeva O: Department of Bioinformatics and Mathematical Modelling, Institute of Biophysics and Biomedical Engineering, Bulgarian Academy of Sciences, 1113 Sofia, Bulgaria [ORCID]
Angelova M: Department of QSAR and Molecular Modelling, Institute of Biophysics and Biomedical Engineering, Bulgarian Academy of Sciences, 1113 Sofia, Bulgaria
Zoteva D: Department of Bioinformatics and Mathematical Modelling, Institute of Biophysics and Biomedical Engineering, Bulgarian Academy of Sciences, 1113 Sofia, Bulgaria; Department of Computer Informatics, Faculty of Mathematics and Informatics, Sofia University [ORCID]
Pencheva T: Department of QSAR and Molecular Modelling, Institute of Biophysics and Biomedical Engineering, Bulgarian Academy of Sciences, 1113 Sofia, Bulgaria
Angelova M: Department of QSAR and Molecular Modelling, Institute of Biophysics and Biomedical Engineering, Bulgarian Academy of Sciences, 1113 Sofia, Bulgaria
Zoteva D: Department of Bioinformatics and Mathematical Modelling, Institute of Biophysics and Biomedical Engineering, Bulgarian Academy of Sciences, 1113 Sofia, Bulgaria; Department of Computer Informatics, Faculty of Mathematics and Informatics, Sofia University [ORCID]
Pencheva T: Department of QSAR and Molecular Modelling, Institute of Biophysics and Biomedical Engineering, Bulgarian Academy of Sciences, 1113 Sofia, Bulgaria
Journal Name
Processes
Volume
8
Issue
8
Article Number
E920
Year
2020
Publication Date
2020-08-02
Published Version
ISSN
2227-9717
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Original Submission
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PII: pr8080920, Publication Type: Journal Article
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Published Article
LAPSE:2020.1195
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External Link
doi:10.3390/pr8080920
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Version History
[v1] (Original Submission)
Dec 17, 2020
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Dec 17, 2020
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v1
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https://psecommunity.org/LAPSE:2020.1195
Original Submitter
Calvin Tsay
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