Optimization Model and Algorithm in Microbial Continuous Fermentation Process

Yong Sheng Yu; Chong Yang Liu

doi:10.4028/www.scientific.net/AMM.40-41.787

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 40-41Optimization Model and Algorithm in Microbial...

Optimization Model and Algorithm in Microbial Continuous Fermentation Process

Abstract:

In this paper, a nonlinear dynamical system is proposed to describe glycerol bioconversion to 1,3-propanediol (1,3-PD) in continuous fermentation process. Some important properties of the system are then discussed. To maximize the concentration of 1,3-PD at the steady-state moment, an optimization model by taking the concentration of glycerol in the feed flow and the dilution rate as optimization variables is presented. Finally, an improved Particle Swarm Optimization (PSO) algorithm is developed to seek the optimal solution. Numerical results show that the concentration of 1,3-PD at the steady-state moment is increased considerably.

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Periodical:

Applied Mechanics and Materials (Volumes 40-41)

Pages:

787-794

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.40-41.787

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Online since:

November 2010

Authors:

Yong Sheng Yu, Chong Yang Liu

Keywords:

Continuous Fermentation, Improved Particle Swarm Optimization (IPSO), Nonlinear Dynamical System, Optimization

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