Feed rate profiles synthesis using genetic algorithms

Authors:
Olympia Roeva
Affiliations:
Centre of Biomedical Engineering, Bulgarian Academy of Sciences, Sofia, Bulgaria
Venue:
AIMSA'10 Proceedings of the 14th international conference on Artificial intelligence: methodology, systems, and applications
Year:
2010

Citing 1
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Parameter Estimation of a Monod-Type Model Based on Genetic Algorithms and Sensitivity Analysis

Large-Scale Scientific Computing

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Abstract

In the paper a genetic algorithm for feed rate profiles synthesis is proposed. An E. coli fed-batch fermentation process is considered. The feed rate profiles based on three different lengths of chromosomes are synthesized. A satisfactory result for the fermentation system due to economical effect and process effectiveness is achieved.