Microwave absorber optimal design using multi-objective particle swarm optimization

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 fli...

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Bibliographic Details
Published in:Microwave and optical technology letters 2006-08, Vol.48 (8), p.1553-1558
Main Authors: Goudos, S. K., Sahalos, J. N.
Format: Article
Language:English
Subjects:
microwave absorber design
multiobjective optimization
multiobjective particle swarm optimization
Pareto optimization
particle swarm optimization
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Summary: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. © 2006 Wiley Periodicals, Inc. Microwave Opt Technol Lett 48: 1553–1558, 2006; Published online in Wiley InterScience (www.interscience.wiley.com). DOI 10.1002/mop.21727
ISSN:0895-2477
1098-2760
DOI:10.1002/mop.21727