Optimal Fed-Batch Culture for Penicillin G Production via a Hybrid Neural Model and a Real-Coded Genetic Algorithm

Abstract Fed-batch culture has been commonly employed in fermentation process. The main concern of fed-batch culture is the feeding strategy for improving the fermentation performance. This work is to determine the optimal feeding for fed-batch culture in penicillin G production. The optimization technique is based on a hybrid neural model and a real-coded genetic algorithm. The proposed technique is a general approach. Extension of the technique to other fed-batch fermentation process is suitable.