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Extended Initial Study on the Performance of Enhanced PSO Algorithm with Lozi Chaotic Map

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Nostradamus: Modern Methods of Prediction, Modeling and Analysis of Nonlinear Systems

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 192))

Abstract

In this paper, it is proposed the utilization of discrete Lozi map based chaos random number generator to enhance the performance of PSO algorithm with inertia weight. Performance tests and results are presented. Results are analyzed and compared with another evolutionary algorithm. Tuning experiment was performed.

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Author information

Authors and Affiliations

  1. Faculty of Applied Informatics, Tomas Bata University in Zlin, Nam T.G. Masaryka 5555, 760 01, Zlin, Czech Republic

    Michal Pluhacek, Vera Budikova, Roman Senkerik, Zuzana Oplatkova & Ivan Zelinka

Authors
  1. Michal Pluhacek
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  2. Vera Budikova
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  3. Roman Senkerik
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  4. Zuzana Oplatkova
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  5. Ivan Zelinka
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Corresponding author

Correspondence to Michal Pluhacek .

Editor information

Editors and Affiliations

  1. Faculty of Electrical Engineering and Co, Department of Computer Science, VÅ B-Technical University of Ostrava, 17. listopadu 15, Ostrava-Poruba, 70833, Czech Republic

    Ivan Zelinka

  2. Institute of Physical and, Theoretical Chemistry, University of Tuebingen, Auf der Morgenstelle 8, Tuebingen, 72076, Germany

    Otto E. Rössler

  3. , Faculty of Electrical Engineering, Department of Computer Science, 17. listopadu 15, Ostrava-Poruba, 708 33, Czech Republic

    Václav Snášel

  4. (MIR Labs), Scientific Network for Innovation and, Machine Intelligence Research Labs, MIR Labs Campus, Auburn, 98071, Washington, USA

    Ajith Abraham

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

    Emilio S. Corchado

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Pluhacek, M., Budikova, V., Senkerik, R., Oplatkova, Z., Zelinka, I. (2013). Extended Initial Study on the Performance of Enhanced PSO Algorithm with Lozi Chaotic Map. In: Zelinka, I., Rössler, O., Snášel, V., Abraham, A., Corchado, E. (eds) Nostradamus: Modern Methods of Prediction, Modeling and Analysis of Nonlinear Systems. Advances in Intelligent Systems and Computing, vol 192. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33227-2_19

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  • DOI: https://doi.org/10.1007/978-3-642-33227-2_19

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-33226-5

  • Online ISBN: 978-3-642-33227-2

  • eBook Packages: EngineeringEngineering (R0)

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