Food and Fermentation Industries >

2021 , Vol. 47 >Issue 2: 153 - 159

DOI: https://doi.org/10.13995/j.cnki.11-1802/ts.024368

Model parameter identification of rice wine fermentation process based on an improved ant lion algorithm

  • ZONG Yuan ,
  • LIU Dengfeng ,
  • LIU Yian
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  • 1(School of Internet of Things,Jiangnan University,Wuxi 214122,China)
    2(Key Laboratory of Light Industry Process Control Ministry of Education(Jiangnan University),Wuxi 214122,China)

Received date: 2020-05-04

  Revised date: 2020-09-03

  Online published: 2021-02-07

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Abstract

For identifying the model parameters of rice wine fermentation process based on the Levenberg-Marquardt method,it is easy to fall into local optimum and slow to converge.This paper proposed an enhanced ant lion optimization algorithm called LCALO (ant lion optimization with Levy flight and Cauchy mutation,LCALO),which employed Levy flight and Cauchy mutation to overcome this problem.Levy flight could improve the global search ability of the algorithm,and the Cauchy mutation with a long tail helped trapped ant lions escape from local optima.The results showed that compared with the genetic algorithm,the particle swarm algorithm and the ant lion algorithm,the LCALO had the advantages of faster convergence speed,better global search ability,and local development ability.Finally,the improved algorithm was applied to the parameter identification of a rice wine fermentation model.Simulation results proved that the algorithm had good identification ability.

Key words： ant lion optimization algorithm; Levi′s flight mechanism; convergence speed; rice wine fermentation; parameter identification

Cite this article

ZONG Yuan , LIU Dengfeng , LIU Yian . Model parameter identification of rice wine fermentation process based on an improved ant lion algorithm[J]. Food and Fermentation Industries, 2021 , 47(2) : 153 -159 . DOI: 10.13995/j.cnki.11-1802/ts.024368

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