Microbial Fermentation Simulation Based on Swarm Intelligence Algorithm

Abstract

The role of fermentation analysis in microbial research is very important, but there is a problem of low analysis accuracy. The real-world statistical method cannot solve the problems of yeast evolution and harmful bacteria identification in fermentation research, and the analysis accuracy is low. Therefore, this paper proposes a crowd intelligence algorithm to construct a fermentation simulation model. Firstly, the group theory is used to divide the fermentation process, and the method is selected according to the reading requirements to realize the preliminary observation of the fermentation data. Then, a collection of fermentation studies is intelligently formed and data mining analysis is performed on the yeast. MATLAB simulation shows that under certain requirements, the swarm intelligence algorithm's optimization degree and simulation stability are better than the realistic statistical method.