PARAMETER OPTIMIZATION OF FERMENTATION PROCESSES MODELS
Olympia N. Roeva
Strony: 58-77
Opublikowano: 1 Jan 2011
Wyświetlenia: 82
Streszczenie: The paper presents the problems of real parameter optimization of fermentation process mathematical models. General and global optimisation methods are classified here and some short notes on the comparison of different methods are shown. A typical test function, as well as two mathematical models of E. coli MC4110 fed-batch fermentation processes are considered as case studies. Considering used test function the results show that the all optimization methods, except Genetic algorithms, get into the local minimum. Considering fermentation process models identification simulation results reveal that accurate and consistent results can be obtained only using genetic algorithms. The best result is obtained using the Multipopulation genetic algorithm.
Słowa kluczowe: fermentation process, optimization, genetic algorithms, mathematical models
Cytowanie artykułu: Olympia N. Roeva. PARAMETER OPTIMIZATION OF FERMENTATION PROCESSES MODELS. Journal of International Scientific Publications: Materials, Methods & Technologies 5, 58-77 (2011). https://www.scientific-publications.net/en/article/1003320/
Powrót do spisu treści tomu
© 2026 The Author(s). This is an open access article distributed under the terms of the
Creative Commons Attribution License https://creativecommons.org/licenses/by/4.0/, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. This permission does not cover any third party copyrighted material which may appear in the work requested.
Disclaimer: The Publisher and/or the editor(s) are not responsible for the statements, opinions, and data contained in any published works. These are solely the views of the individual author(s) and contributor(s). The Publisher and/or the editor(s) disclaim any liability for injury to individuals or property arising from the ideas, methods, instructions, or products mentioned in the content.
