Pareto optimal microwave filter design using multiobjective differential evolution

Sotirios K. Goudos, John N. Sahalos

Research output: Contribution to journalArticlepeer-review


Microwave filters play an important role in modern wireless communications. A novel method for the design of multilayer dielectric and open loop ring resonator (OLRR) filters under constraints is presented. The proposed design method is based on generalized differential evolution (GDE3), which is a multiobjective extension of differential evolution (DE). GDE3 algorithm can be applied for global optimization to any engineering problem with an arbitrary number of objective and constraint functions. GDE3 is compared against other evolutionary multiobjective algorithms like nondominated sorting genetic algorithm-II (NSGA-II), multiobjective particle swarm optimization (MOPSO) and multiobjective particle swarm optimization with fitness sharing (MOPSO-fs) for a number of microwave filter design cases. In the multilayer dielectric filter design case a predefined database of low loss dielectric materials is used. The results indicate the advantages of this approach and the applicability of this design method.

Original languageEnglish
Article number5235094
Pages (from-to)132-144
Number of pages13
JournalIEEE Transactions on Antennas and Propagation
Issue number1
Publication statusPublished - Jan 2010


  • Dielectric filters
  • Differential evolution (DE)
  • Generalized differential evolution (GDE)
  • Microwave filter design
  • Multiobjective optimization (MO)
  • Open loop ring resonator (OLRR) filter
  • Pareto optimization
  • Particle swarm optimization (PSO)


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