Multiobjective Optimization Applied to Design of PIFA Antennas

S. Jakobsson, B. Andersson, F. Edelvik, In Scientific Computing in Electrical Engineering SCEE 2008, Mathematics in Industry, Volume 14, Part 4, 437-444, Springer-Verlag Berlin Heidelberg, Germany, 2010.


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.


Financial support for this work has been provided by the Swedish Foundation for Strategic Research (SSF) through the Gothenburg Mathematical Modeling Centre (GMMC).


  • S. Jakobsson, Fraunhofer-Chalmers Centre
  • B. Andersson, Fraunhofer-Chalmers Centre
  • F. Edelvik, Fraunhofer-Chalmers Centre

Photo credits: Nic McPhee