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Feed Rate Profiles Synthesis Using Genetic Algorithms

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Artificial Intelligence: Methodology, Systems, and Applications (AIMSA 2010)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 6304))

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.

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References

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Authors and Affiliations

  1. Centre of Biomedical Engineering, Bulgarian Academy of Sciences, 105 Acad. G. Bonchev Str., Sofia, 1113, Bulgaria

    Olympia Roeva

Authors
  1. Olympia Roeva
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Editors and Affiliations

  1. Winston-Salem State University, 601 S. Martin Luther King Drive, NC 27110, Winston Salem, USA

    Darina Dicheva

  2. Institute of Information Technologies, Bulgarian Academy of Sciences, 29A Acad. Bonchev Str., 1113, Sofia, Bulgaria

    Danail Dochev

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Roeva, O. (2010). Feed Rate Profiles Synthesis Using Genetic Algorithms. In: Dicheva, D., Dochev, D. (eds) Artificial Intelligence: Methodology, Systems, and Applications. AIMSA 2010. Lecture Notes in Computer Science(), vol 6304. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15431-7_37

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  • DOI: https://doi.org/10.1007/978-3-642-15431-7_37

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-15430-0

  • Online ISBN: 978-3-642-15431-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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