Comparison of different algorithms for InterCriteria relations calculation

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 applied. Proposed ICrA algorithms are compared based on real experimental data set of an E. coli MC4110 fed-batch fermentation process. The obtained results show that for considered here case study the most reliable algorithm is the μ-biased one.