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In this investigation different algorithms for InterCriteria relations calculation are proposed. The algorithms are investigated by exploring the influence of genetic parameters on algorithm performance during the model parameter identification of E. coli fermentation process. Four different algorithms performing InterCriteria Analysis (ICrA), namely μ-biased, balanced, ν-biased and unbiased, are...
Intuitionistic fuzzy logic is implemented in this investigation aiming to derive intuitionistic fuzzy estimations of model parameters of Saccharomyces cerevisiae fed-batch cultivation. Intuitionistic fuzzy logic overbuilds the results obtained after the application of recently developed purposeful model parameters genesis procedure in order to keep obtained promising results. Two kinds of simple genetic...
Simple genetic algorithms have been investigated aiming to improve the algorithm convergence time. Because of the stochastic nature of genetic algorithms, several runs have to be performed in order to achieve representative results. A procedure for purposeful genesis concerning intervals of variations of model parameters is proposed for a standard simple genetic algorithm, aiming to improve significantly...
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