Bi-objective Memetic Evolutionary Algorithm for Automated Microwave Filter Synthesis

  • Authors:
  • Maria J. Dantas;Leonardo C. Brito;Paulo C. Machado;Paulo H. Carvalho

  • Affiliations:
  • Catholic University of Goiás, Goiânia,;Federal University of Goiás, Goiânia,;Federal University of Goiás, Goiânia,;University of Brasília, Brasília, Brazil

  • Venue:
  • SBIA '08 Proceedings of the 19th Brazilian Symposium on Artificial Intelligence: Advances in Artificial Intelligence
  • Year:
  • 2008

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Abstract

This paper presents a Memetic Evolutionary Algorithm for automated compact filter design using two-port building-blocks. In general, complex circuits are designed with suitably arranged two-port elements. The proposed representation scheme uses a proposed Positional Matrix, associating two-port building-blocks, their possible connections (cascade, serial, parallel or hybrid), and their parameters. The candidate designs are processed through suitable bidimensional evolutionary operators. The solutions are evolved using a bi-objective classification process, taking into account the performance evaluations, based on scattering parameters and size of the circuit. Promising candidate solutions are fine-tuned by a local search method. Results demonstrated that two-port compact filters are achieved, using simple microstrip building-blocks for describing the general passive microwave circuits.