Optimization Using Decision Trees Method in Multivariable Food Engineering Experiments and Its Sample of Applicability on Experiment Related with the Nisin Production of Lactococcus lactis N8

In this study, the ranges of independent variables resulting the optimum result of experiment should be selected was determined using decision trees method. Thus, the applicability of decision trees method has been proposed to food engineering experiments aiming the optimization. The sample application of the decision tree method proposed in the study was performed in the experiment aiming optimum nisin production of Lactococcus lactis N8. According to the findings obtained from the sample application it was observed that the decision trees method determines both optimum variable values and their tolerance ranges. Furthermore, the method proposed was not only determined the optimal ranges of variable values also it was determined the variable ranges for all possible experimental results. Accordingly, at the end of the study, advantages of the proposed method were explained by comparing with similar methods and how the experimental design should be to make the method more effective was proposed.

Keywords:

Decision Trees, Modelling, Nisin Production, Optimization Prediction,

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