Microbial fermentation optimizing method based on bacterium foraging algorithm

Abstract

The invention discloses a microbial fermentation optimizing method based on a bacterium foraging algorithm. The microbial fermentation optimizing method comprises the following steps that a microbial fermentation data set is established and randomly divided into a training data set and a testing data set, a BP neural network is structured and trained through the training data set, binary encoding is carried out on each microbial fermentation control parameter to obtain an initial bacterium population, a bacterium chemotaxis operator and a reproduction operator are executed, and a migration operator is executed on each bacterium according to the probability. By means of the microbial fermentation optimizing method based on the bacterium foraging algorithm, the optimal control parameter combination can be obtained according to existing fermentation data, and an experiment does not need to be redesigned.

Description

technical field [0001] The invention relates to the field of microbial fermentation control, in particular to a microbial fermentation optimization method based on a bacterial foraging algorithm. Background technique [0002] The microbial fermentation process is a highly complex and nonlinear process, and it is difficult to model the fermentation process with an accurate mathematical model. In recent years, with the development of computational intelligence algorithms, more and more computational intelligence algorithms have been applied to the modeling and optimization control of microbial fermentation processes. For example, BP neural network, genetic algorithm, etc. are used to model and optimize the fermentation process. In the prior art, the BP neural network and the genetic algorithm are often applied alone to the modeling and optimization control of the fermentation process. There is also a joint application of BP neural network and genetic algorithm to model and o...

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Problems solved by technology

[0007] In order to solve the above-mentioned technical problems, the present invention provides a microbial fermentation optimization method based on the bacterial foraging algorithm, which is used to solve the problem that the existing microbial fermentation control process needs to pre-design fermentation experiments, and it is difficult to obtain the optimal fermentation individual and optimal fermentation control parameters. question

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