Parameter Identification of a Class of Bioprocesses Using Particle Swarm Optimization


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Abstract


This paper deals with the off-line parameters identification for a class of bioprocesses using particle swarm optimization (PSO) techniques. Particle swarm optimization is a relatively new heuristic method that has produced promising results for solving complex optimization problems. In this paper one uses some variants of the PSO algorithm for parameter estimation of a complex biotechnological system. The identification problem is formulated as a multi-modal numerical optimization problem with high dimension. The performances of the method are analyzed by numerical simulations.
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Keywords


Bioprocesses; Parameter Identification; Particle Swarm Optimization

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References


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