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Investigation on Evolutionary Control and Optimization of Chemical Reactor

  • Conference paper
Soft Computing Models in Industrial and Environmental Applications

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 188))

Abstract

This contribution deals with a new algorithm – the Self-Organizing Migrating Algorithm (SOMA). The SOMA algorithm was used for static optimization of a given chemical reactor with 5 inputs and 5 outputs. SOMA was used on this reactor for static optimization because the reactor, which was set by an expert, shows poor performance behaviour. Participation consists of simulation results, which shows how expertly set reactor behaves. Also set of static optimization simulations of given reactor is presented here including results and conclusions.

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References

  1. Zelinka, I., Snasel, V., Abraham, A. (eds.): Handbook of Optimization. In: Intelligent Systems. Springer (2012)

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  4. Zelinka, I.: SOMA – Self Organizing Migrating Algorithm. In: Babu, B.V., Onwubolu, G. (eds.) New Optimization Techniques in Engineering, pp. 167–218. Springer, New York (2004) ISBN 3-540-20167X

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  5. Zelinka, I., Celikovsky, S., Richter, H., Chen, G.: Evolutionary Algorithms and Chaotic Systems. 550s, Springer, Germany (2010)

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Author information

Authors and Affiliations

  1. Department of Computer Science, Faculty of Electrical Engineering and Computer Science, VŠB-TUO, 17. Listopadu 15, 708 33, Ostrava, Poruba, Czech Republic

    Ivan Zelinka & Lenka Skanderova

Authors
  1. Ivan Zelinka
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  2. Lenka Skanderova
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Corresponding author

Correspondence to Ivan Zelinka .

Editor information

Editors and Affiliations

  1. VŠB-TU Ostrava, 17. listopadu 15, Ostrava, 70833, Czech Republic

    Václav Snášel

  2. (MIR Labs), Scientific Network for Innovation and, Machine Intelligence Research Labs, Auburn, 98071-2259, Washington, USA

    Ajith Abraham

  3. , Dept. de Informática y Automática, University of Salamanca, Plaza de la Merced, s/n, Salamanca, 37008, Spain

    Emilio S. Corchado

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Zelinka, I., Skanderova, L. (2013). Investigation on Evolutionary Control and Optimization of Chemical Reactor. In: Snášel, V., Abraham, A., Corchado, E. (eds) Soft Computing Models in Industrial and Environmental Applications. Advances in Intelligent Systems and Computing, vol 188. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-32922-7_48

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  • DOI: https://doi.org/10.1007/978-3-642-32922-7_48

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-32921-0

  • Online ISBN: 978-3-642-32922-7

  • eBook Packages: EngineeringEngineering (R0)

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