Microwave absorber optimal design using multi-objective particle swarm optimization

S. K. Goudos, J. N. Sahalos

Research output: Contribution to journalArticlepeer-review


The design of planar multilayer coatings with high absorption for a desired range of frequencies and angles is presented. The design technique is based on multiobjective particle swarm optimization (MOPSO). Particle swarm optimization (PSO) is an evolutionary optimization algorithm based on bird flight. Multiobjective PSO (MOPSO) is a Pareto PSO algorithm which produces the Pareto front fast and efficiently. MOPSO is used for several design cases and is compared with multiobjective genetic algorithms. Numerical results that are also compared with those existing in the literature show the advantages of this approach and the applicability of this design method.

Original languageEnglish
Pages (from-to)1553-1558
Number of pages6
JournalMicrowave and Optical Technology Letters
Issue number8
Publication statusPublished - Aug 2006


  • Microwave absorber design
  • Multiobjective optimization
  • Multiobjective particle swarm optimization
  • Pareto optimization
  • Particle swarm optimization


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