AUTHORS: Maria Angelova
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InterCriteria analysis (ICrA) has been applied here to examine the influence of three main artificial bee colony (ABC) algorithm’s control parameters, namely number of population, maximum cycle number and limit, during the model parameter identification of Saccharomyces cerevisiae fed-batch fermentation process. The relations and dependences between ABC parameters, on the one hand, and convergence time, model accuracy and model parameters on the other hand, have been outlined. Some valuable conclusions, about derived interactions are reported, expected to be very useful especially in the case of fermentation process modelling.
KEYWORDS: Artificial bee colony algorithm, Control parameters, InterCriteria analysis, Parameter identification.
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