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Licensed Unlicensed Requires Authentication Published by De Gruyter December 4, 2015

Estimation of Kinetic Parameters by a Hybrid Algorithm of Nonlinear Model Based Differential Evolution for Lactic Acid Production

J. Satya Eswari

Abstract

The kinetic model parameters are estimated for lactic acid production using mixed microbial consortium in batch fermentation by using different optimization methods. For every time interval concentrations are measured and formulated the parameter appraisal delinquent. Cellular progression kinetic model of exponential or logistic was verified for the effect of various substrates and lactic acid production of mixed culture. This paper proposed hybrid algorithm such as nonlinear models in conjunction with differential evolution and kinetic model. The nonlinear regression with graphical method and Nelder-Mead simplex linked kinetic model was compared with the differential evolution for parameter estimation. The optimized kinetic parameters are found to be within the range of experimental conditions for which the model is developed offers a significant enhancement of lactic acid production. From the computational results, the proposed kinetic model linked differential evolution strategy is thus found effective in exploring the input search space and optimizing the kinetic parameters.

Acknowledgments

Monetary backing from DST over the donation SR/wos-a/ET-20/2009 is appreciatively approved.

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Received: 2015-6-9
Revised: 2015-11-3
Accepted: 2015-11-3
Published Online: 2015-12-4
Published in Print: 2016-6-1

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