NDLI: Parameter estimation of a bioreaction model by hybrid differential evolution

Content Provider	IEEE Xplore Digital Library
Author	Feng-Sheng Wang Horng-Jhy Jang
Copyright Year	2000
Description	Author affiliation: Dept. of Chem. Eng., Nat. Chung Cheng Univ., Taiwan, China (Feng-Sheng Wang)
Abstract	Hybrid differential evolution is applied to estimate the kinetic model parameters of batch fermentation for ethanol and glycerol production using Saccharomyces diastaticus LORRE 316. In this study, we consider the worst observed error for all experiments as an objective function so that the parameter estimation problem becomes a min-max estimation problem. Several methods have been employed to solve the min-max estimation problem for comparison. The proposed method can use a small population size to obtain a more satisfactory solution as compared from these computations. In order to validate the kinetic model, we have carried out the fedbatch experiments with an optimal feed rate. The experimental data can fit the computed results satisfactorily.
Starting Page	410
Ending Page	417
File Size	665339
Page Count	8
File Format	PDF
ISBN	0780363752
DOI	10.1109/CEC.2000.870325
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2000-07-16
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Parameter estimation Kinetic theory Evolution (biology) Ethanol Optimization methods Feeds Evolutionary computation Stochastic processes Genetic programming Optimal control
Content Type	Text
Resource Type	Article

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