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Multiobjective Optimization Applied to Design of PIFA Antennas

Conference paper
Part of the Mathematics in Industry book series (MATHINDUSTRY, volume 14)

Abstract

In this paper multiobjective optimization is applied to antenna design. The optimization algorithm is a novel response surface method based on approximation with radial basis functions. It is combined with CAD and mesh generation software, and electromagnetic solvers. To demonstrate the procedure we optimize the geometric design and feed position of a PIFA antenna located on a ground plane.

Keywords

Radial Basis Function Pareto Front Multiobjective Optimization Ground Plane Response Surface Method 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

  1. 1.
  2. 2.
    TranscenData®;. http://www.transcendata.com
  3. 3.
    Jakobsson, S., Patriksson, M., Rudholm, J., Wojciechowski, A.: A method for simulation based optimization using radial basis functions. To appear in Optimization and EngineeringGoogle Scholar
  4. 4.
    Buhmann, M.D.: Radial basis functions, Cambridge Monographs on Applied and Computational Mathematics, vol. 12. Cambridge University Press, Cambridge (2003)Google Scholar
  5. 5.
    Wendland, H.: Scattered data approximation, Cambridge Monographs on Applied and Computational Mathematics, vol. 17. Cambridge University Press, Cambridge (2005)Google Scholar
  6. 6.
    Hu, X.G., Ho, T.S., Rabitz, H.: Rational approximation with multidimensional scattered data. Phys. Rev. E 65(3), 035,701 (2002). DOI 10.1103/PhysRevE.65.035701Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  1. 1.FCC–Fraunhofer-Chalmers Research Centre for Industrial MathematicsGöteborgSweden

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