Optimal control of fed batch fermentation processes using adaptive genetic algorithm

This paper introduces an application of genetic algorithm (GA) in determining the best feed rate profile for the penicillin G fed-batch fermentation, using a mathematical model based on balancing methods. The proposed algorithm consists of the simple GA with variations in the population representation and a new adaptive mutation mechanism. The results are compared with those obtained by applying simple GA and standard optimal control theory. It has been shown that the developed adaptive mutation is faster in convergence and the obtained solutions are of higher fitness than previous work.