Hybrid Differential Evolution for Estimation of Kinetic Parameters for Biochemical Systems

2013 ◽  
Vol 21 (2) ◽  
pp. 155-162 ◽  
Author(s):  
Chao ZHAO ◽  
Qiaoling XU ◽  
Siming LIN ◽  
Xuelai LI
Keyword(s):  
Differential Evolution ◽  
Kinetic Parameters ◽  
Biochemical Systems

scholarly journals Chemically Fueled Transient Geometry Changes in Diphenic Acids

2020 ◽  
Author(s):  
Isuru Jayalath ◽  
Hehe Wang ◽  
Georgia Mantel ◽  
Lasith S. Kariyawasam ◽  
Scott Hartley
Keyword(s):  
Quantitative Analysis ◽  
Kinetic Parameters ◽  
Dihedral Angle ◽  
Steric Hindrance ◽  
Molecular Geometry ◽  
Torsional Angle ◽  
Fuel Treatment ◽  
Simple Mechanism ◽  
Ethylcarbodiimide Hydrochloride ◽  
Biochemical Systems

Transient changes in molecular geometry are key to the function of many important biochemical systems. Here, we show that diphenic acids undergo out-of-equilibrium changes in dihedral angle when reacted with a carbodiimide chemical fuel. Treatment of appropriately functionalized diphenic acids with EDC (<i>N</i>-(3-dimethylaminopropyl)-<i>N</i>′-ethylcarbodiimide hydrochloride) yields the corresponding diphenic anhydrides, reducing the torsional angle about the biaryl bond by approximately 45°, regardless of substitution. In the absence of steric resistance, the reaction is well-described by a simple mechanism; the resulting kinetic parameters can be used to derive important properties of the system, such as yields and lifetimes. The reaction tolerates steric hindrance ortho to the biaryl bond, although the competing formation of (transient) byproducts complicates quantitative analysis.

Optimisation of Biochemical Systems Production using Hybrid of Newton Method, Differential Evolution Algorithm and Cooperative Coevolution Algorithm

2017 ◽  
Vol 8 (1) ◽  
pp. 27
Author(s):  
Mohd Arfian Ismail ◽  
Vitaliy Mezhuyev ◽  
Kohbalan Moorthy ◽  
Shahreen Kasim ◽  
Ashraf Osman Ibrahim
Keyword(s):  
Differential Evolution ◽  
Newton Method ◽  
Hybrid Method ◽  
Differential Evolution Algorithm ◽  
The Other ◽  
Cooperative Coevolution ◽  
Biochemical System ◽  
Biochemical Systems ◽  
Evolution Algorithm ◽  
Reaction Concentration

<p>This paper present a hybrid method of Newton method, Differential Evolution Algorithm (DE) and Cooperative Coevolution Algorithm (CCA). The proposed method is used to solve the optimisation problem in optimise the production of biochemical systems. The problems are maximising the biochemical systems production and simultaneously minimising the total amount of chemical reaction concentration involves. Besides that, the size of biochemical systems also contributed to the problem in optimising the biochemical systems production. In the proposed method, the Newton method is used in dealing biochemical system, DE for optimisation process while CCA is used to increase the performance of DE. In order to evaluate the performance of the proposed method, the proposed method is tested on two benchmark biochemical systems. Then, the result that obtained by the proposed method is compare with other works and the finding shows that the proposed method performs well compare to the other works.</p>

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

2016 ◽  
Vol 11 (2) ◽  
pp. 141-148
Author(s):  
J. Satya Eswari
Keyword(s):  
Lactic Acid ◽  
Kinetic Model ◽  
Differential Evolution ◽  
Kinetic Parameters ◽  
Acid Production ◽  
Hybrid Algorithm ◽  
Lactic Acid Production ◽  
Model Parameters ◽  
Time Interval ◽  
Experimental Conditions

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.

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