Add to ORKGAbstract: An optimal experimental design for yield coefficients estimation in an unstructured growth model of fed-batch fermentation of E. coli is presented. The feed profile is designed by optimisation of a scalar function based on the Fischer Information Matrix. A genetic algorithm is proposed as the optimisation method due to its efficiency and independence on the initial values. Copyright 2004 IFAC Key-words: Optimisation, genetic algorithms, Fisher Information Matrix, fed-batch fermentation, E. coli, yield coefficients
Two optimisation techniques for the fed-batch cultivation of high cell density Escherichia coli prod...
This paper deals with the practical identification of the parameters of unstructured growth kinetics...
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An optimal experimental design for yield coefficients estimation in an unstructured growth model of...
In this work, a genetic algorithm was used to estimate both yield and kinetic coefficients of an uns...
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An optimisation procedure based on genetic algorithm approach is developed for the determination of ...
An optimisation procedure based on genetic algorithm approach is developed for the determination of ...
Two optimisation techniques for the fed-batch cultivation of high cell density Escherichia coli prod...
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Abstract. In this paper, an investigation of the influence of the popula-tion size on the Genetic Al...
In this paper optimal control algorithms for two E. coli fed-batch fermentations are developed. Fed-...
Fermentation processes by nature are complex, time-varying, and highly nonlinear. As dynamic systems...
Two optimisation techniques for the fed-batch cultivation of high cell density Escherichia coli prod...
This paper deals with the practical identification of the parameters of unstructured growth kinetics...
This paper uses genetic algorithms to optimise the mathematical model of a beer fermentation process...
An optimal experimental design for yield coefficients estimation in an unstructured growth model of...
In this work, a genetic algorithm was used to estimate both yield and kinetic coefficients of an uns...
In this work a genetic algorithm is proposed with the purpose of the feeding trajectory optimization...
An optimisation procedure based on genetic algorithm approach is developed for the determination of ...
An optimisation procedure based on genetic algorithm approach is developed for the determination of ...
Two optimisation techniques for the fed-batch cultivation of high cell density Escherichia coli prod...
In this work, Evolutionary Algorithms (EAs) are used to achieve optimal feedforward control in a rec...
In this paper, a novel meta-heuristics algorithm, namely the Firefly Algorithm (FA), is adapted and ...
The specific growth rate is one of the most important process variables characterizing the state of ...
Abstract. In this paper, an investigation of the influence of the popula-tion size on the Genetic Al...
In this paper optimal control algorithms for two E. coli fed-batch fermentations are developed. Fed-...
Fermentation processes by nature are complex, time-varying, and highly nonlinear. As dynamic systems...
Two optimisation techniques for the fed-batch cultivation of high cell density Escherichia coli prod...
This paper deals with the practical identification of the parameters of unstructured growth kinetics...
This paper uses genetic algorithms to optimise the mathematical model of a beer fermentation process...