DocumentCode :
657654
Title :
Parameter identification of bacterial growth bioprocesses using heuristics for global optimization
Author :
Sendrescu, Dorin ; Bobasu, Eugen
Author_Institution :
Dept. of Autom. Control, Univ. of Craiova, Craiova, Romania
fYear :
2013
fDate :
11-13 Oct. 2013
Firstpage :
485
Lastpage :
490
Abstract :
A metaheuristic is a general algorithmic framework which can be applied to different optimization problems with relative few modifications to make them adapted to a specific problem. This work describes a dynamic mathematical model for Bacterial growth bioprocess containing 9 unknown parameters, which were calibrated using particle swarm optimization and genetic algorithms through the minimization of an evaluation function. Two kinetic expressions, the Monod and Haldane equations, commonly employed to describe microbial growth were tested in the model simulations. The identification problem is formulated as a multi-modal numerical optimization problem with high dimension. The performances of the two methods are analyzed by numerical simulations.
Keywords :
biology; genetic algorithms; identification; microorganisms; minimisation; particle swarm optimisation; Haldane equations; Monod equations; bacterial growth bioprocess; dynamic mathematical model; evaluation function minimization; general algorithmic framework; genetic algorithms; global optimization; kinetic expressions; metaheuristic; microbial growth; multimodal numerical optimization problem; numerical simulations; optimization problems; parameter identification; particle swarm optimization; Biological cells; Biological system modeling; Genetic algorithms; Optimization; Sociology; Statistics; Vectors; bioprocesses; particle swarm optimization; system identification;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
System Theory, Control and Computing (ICSTCC), 2013 17th International Conference
Conference_Location :
Sinaia
Print_ISBN :
978-1-4799-2227-7
Type :
conf
DOI :
10.1109/ICSTCC.2013.6689005
Filename :
6689005
Link To Document :
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