Water Cycle Algorithm for Modelling of Fermentation Processes

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....

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Bibliographic Details
Published in:Processes 2020-08, Vol.8 (8), p.920
Main Authors: Roeva, Olympia, Angelova, Maria, Zoteva, Dafina, Pencheva, Tania
Format: Article
Language:English
Subjects:
Algorithms
Automation
Bacteria
Biomass
Comparative analysis
Creeks & streams
E coli
Enzymes
Ethanol
Fermentation
Genetic algorithms
Glucose
Heuristic methods
Hydrologic cycle
Hydrology
Mathematical models
Microorganisms
Model accuracy
Nature
Optimization
Parameter identification
Process parameters
Researchers
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Summary: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.
ISSN:2227-9717
2227-9717
DOI:10.3390/pr8080920