The Feeding Rate Optimization Based on Differential Evolution Algorithm

Abstract

Bacteria concentration is one of the important parameters throughout the fermentation process, and in the whole process of fermentation it is an important basis for judging the feeding. Bacteria concentration in the end is the important factor that affects product concentration, so the appropriate bacteria concentration is a top priority in the fermentation process. Pichia expression of recombinant protein fermentation process acts as the research background, and the differential evolution (DE) algorithm is applied to optimize the feeding. The propose is to get more bacteria concentration by optimizing glycerol and ammonia feeding rate in bacteria growth stage. The simulation results indicate that the method is effective in solving the optimization problem of feeding rate, and that the feasibility of the optimization algorithm in the fermentation process is verified.