Application of evolutionary computing for hybrid model based optimization of biochemical processes

  • Authors:

  • Vytautas Galvanauskas;Rimvydas Simutis;Donatas Levišauskas

  • Affiliations:

  • Process Control Department, Kaunas University of Technology, Kaunas, Lithuania;Process Control Department, Kaunas University of Technology, Kaunas, Lithuania;Process Control Department, Kaunas University of Technology, Kaunas, Lithuania

  • Venue:
  • EC'05 Proceedings of the 6th WSEAS international conference on Evolutionary computing
  • Year:
  • 2005

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Abstract

General framework for hybrid model based identification and optimization of biochemical processes is elaborated. An enhanced hybrid model of the fed-batch biosurfactant production process is presented. The evolutionary programming techniques are applied for the hybrid model identification and optimization of the process. High performance of the applied optimization techniques is reported. The perspectives of development of a software package for hybrid model based identification and optimization of biochemical processes is discussed.