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Bioreactor Control by Genetic Programming

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Parallel Problem Solving from Nature, PPSN XI (PPSN 2010)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 6239))

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Abstract

Genetic programming is applied to the problem of bioreactor control. This highly nonlinear problem has previously been suggested as one of the challenging benchmarks to explore new ideas for building automatic controllers. It is shown that the derived control law is successful in a number of test cases.

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References

  1. Anderson, C.W., Miller III, W.T.: Challenging control problems. In: Miller, S., Werbos (eds.) Neural Networks for Control, MIT Press, Cambridge (1990)

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Author information

Authors and Affiliations

  1. School of Electronics and Computer Science, University of Westminster, London, UK

    Dimitris C. Dracopoulos & Riccardo Piccoli

Authors
  1. Dimitris C. Dracopoulos
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  2. Riccardo Piccoli
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Editor information

Editors and Affiliations

  1. Faculty of Electrical Engineering, Automatics, Computer Science and Electronics, Department of ComputerScience, AGH University of Science and Technology, Mickiewicza 30, 30-059, Kraków, Poland

    Robert Schaefer

  2. Departamento de Lenguajes y Ciencias de la Computación, ETSI Informática, Universidad de Málaga, Campus Teatinos, 29071, Málaga, Spain

    Carlos Cotta

  3. Department of Mathematics and Computer Science, University of Bielsko-Biala, Willowa 2, 43-309, Bielsko-Biala, Poland

    Joanna Kołodziej

  4. Fakultät für Informatik, Technische Universität Dortmund, 44221, Dortmund, Germany

    Günter Rudolph

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© 2010 Springer-Verlag Berlin Heidelberg

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Dracopoulos, D.C., Piccoli, R. (2010). Bioreactor Control by Genetic Programming. In: Schaefer, R., Cotta, C., Kołodziej, J., Rudolph, G. (eds) Parallel Problem Solving from Nature, PPSN XI. PPSN 2010. Lecture Notes in Computer Science, vol 6239. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15871-1_19

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  • DOI: https://doi.org/10.1007/978-3-642-15871-1_19

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-15870-4

  • Online ISBN: 978-3-642-15871-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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