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Optimization of Polytopic System Eigenvalues by Swarm of Particles

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Artificial Intelligence: Methodology, Systems, and Applications (AIMSA 2014)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 8722))

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Abstract

A modified version of particle swarm optimization algorithm is proposed for minimization of maximal real part of a polytopic system eigenvalues. New initialization procedure and special projection operation are introduced to keep all particles working effectively inside a simplex of feasible positions. The algorithm is tested on several benchmarks and statistical evidences for its’ high efficiency are provided.

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Author information

Authors and Affiliations

  1. Institute of Automatic Control, Lodz University of Technology, Stefanowskiego 18/22, 90-924, Lodz, Poland

    Jacek Kabziński & Jarosław Kacerka

Authors
  1. Jacek Kabziński
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  2. Jarosław Kacerka
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Editor information

Editors and Affiliations

  1. Institute of Information and Communication, Bulgarian Academy of Sciences, Sofia, Bulgaria

    Gennady Agre

  2. Department of Computer Science, Wright State University, Dayton, OH, USA

    Pascal Hitzler

  3. Wright State University, Dayton, OH, USA

    Adila A. Krisnadhi

  4. Higher School of Economics, National Research University, Moscow, Russia

    Sergei O. Kuznetsov

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Kabziński, J., Kacerka, J. (2014). Optimization of Polytopic System Eigenvalues by Swarm of Particles. In: Agre, G., Hitzler, P., Krisnadhi, A.A., Kuznetsov, S.O. (eds) Artificial Intelligence: Methodology, Systems, and Applications. AIMSA 2014. Lecture Notes in Computer Science(), vol 8722. Springer, Cham. https://doi.org/10.1007/978-3-319-10554-3_17

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  • DOI: https://doi.org/10.1007/978-3-319-10554-3_17

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-10553-6

  • Online ISBN: 978-3-319-10554-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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