Multiple Objective Optimisation of Batch Cultivation of Saccharomyces Cerevisiae in Mixing Systems

Abstract

ABSTRACTMultiple objective optimisation is a natural extension of the traditional optimisation of a single objective function. On the one hand, if the multiple objective functions are commensurate, minimizing a single objective function, it is possible to minimize all the criteria and the problem can be solved using traditional optimisation techniques. On the other hand, if the objective functions are incommensurate or competing, then the minimization of one objective function requires a compromise in another objective function. Here we discuss the problems of multiple objective optimisation of batch cultivation of Saccharomyces cerevisiae in different mixing systems (impulse and vibromixing). The multiple objective optimisation problems are transformed to a single objective function with weight coefficients. A combined algorithm is applied for solving the single optimisation. The applied multiple objective optimisation of the process showed a vast increase in the productivity and, respectively, decrease in the residual substrate concentration.