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Microwave absorber optimal design using multi‐objective particle swarm optimization
Author(s) -
Goudos S. K.,
Sahalos J. N.
Publication year - 2006
Publication title -
microwave and optical technology letters
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.304
H-Index - 76
eISSN - 1098-2760
pISSN - 0895-2477
DOI - 10.1002/mop.21727
Subject(s) - particle swarm optimization , multi objective optimization , range (aeronautics) , mathematical optimization , microwave , multi swarm optimization , genetic algorithm , pareto principle , evolutionary algorithm , planar , engineering , computer science , mathematics , aerospace engineering , telecommunications , computer graphics (images)
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