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Differential Evolution Algorithm in Optimal Design of Microstrip Filter

  • Juraj Paleček
  • Peter Vestenický
  • Martin Vestenický
  • Juraj Spalek
Part of the Topics in Intelligent Engineering and Informatics book series (TIEI, volume 2)

Abstract

This chapter describes utilization of differential evolution algorithm in process of optimal design of microstrip filters. Main part of the chapter is dedicated to the definition of cost function, where filter design criteria are inserted to the process by tolerance scheme and mathematical model used for evaluation of microstrip filter magnitude response. The solution found is evaluated and compared to a conventional design in the concluding part of the chapter. Discussion of difference between realized samples and mathematical model is also presented at the end of this chapter.

Keywords

Cost Function Differential Evolution Differential Evolution Algorithm Magnitude Response Stop Band 
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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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Juraj Paleček
    • 1
  • Peter Vestenický
    • 2
  • Martin Vestenický
    • 1
  • Juraj Spalek
    • 2
  1. 1.Faculty of Electrical Engineering, Department of Telecommunications and MultimediaUniversity of ŽilinaŽilinaSlovakia
  2. 2.Faculty of Electrical Engineering, Department of Control and Information SystemsUniversity of ŽilinaŽilinaSlovakia

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