Dielectric filter optimal design suitable for microwave communications by using multiobjective evolutionary algorithms

S. K. Goudos, Z. D. Zaharis, M. Salazar-Lechuga, P. I. Lazaridis, P. B. Gallion

Research output: Contribution to journalArticle

12 Citations (Scopus)

Abstract

A multiobjective evolutionary technique is applied to design dielectric filters useful in microwave communications technology. The optimal geometry of the filters is derived by utilizing two different multiobjective optimization algorithms. The first one is the Nondominated Sorting Genetic Algorithm-II (NSGA-II). which is a popular multiobjective genetic algorithm. The second algorithm is based tin multiobjective Particle Swarm Optimization with fitness sharing (MOPSO-fs). MOPSO-fs algorithm is a novel Pareto PSO algorithm that produces the Pareto front in a fast and efficient way. In the present work, MOPSO-fs is compared with NSGA-II to optimize the geometry of the filters under specific requirements concerning the frequency response of the filters. Several examples are studied to exhibit the efficiency of the multiobjective evolutionary optimizers and also the ability of the technique to derive optimal structures that can be used in practice.

LanguageEnglish
Pages2324-2329
Number of pages6
JournalMicrowave and Optical Technology Letters
Volume49
Issue number10
DOIs
Publication statusPublished - Oct 2007
Externally publishedYes

Fingerprint

Multiobjective optimization
Evolutionary algorithms
Particle swarm optimization (PSO)
fitness
sorting algorithms
communication
Microwaves
genetic algorithms
filters
microwaves
optimization
Genetic algorithms
Communication
Sorting
Geometry
Tin
geometry
frequency response
Frequency response
tin

Cite this

Goudos, S. K. ; Zaharis, Z. D. ; Salazar-Lechuga, M. ; Lazaridis, P. I. ; Gallion, P. B. / Dielectric filter optimal design suitable for microwave communications by using multiobjective evolutionary algorithms. In: Microwave and Optical Technology Letters. 2007 ; Vol. 49, No. 10. pp. 2324-2329.
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abstract = "A multiobjective evolutionary technique is applied to design dielectric filters useful in microwave communications technology. The optimal geometry of the filters is derived by utilizing two different multiobjective optimization algorithms. The first one is the Nondominated Sorting Genetic Algorithm-II (NSGA-II). which is a popular multiobjective genetic algorithm. The second algorithm is based tin multiobjective Particle Swarm Optimization with fitness sharing (MOPSO-fs). MOPSO-fs algorithm is a novel Pareto PSO algorithm that produces the Pareto front in a fast and efficient way. In the present work, MOPSO-fs is compared with NSGA-II to optimize the geometry of the filters under specific requirements concerning the frequency response of the filters. Several examples are studied to exhibit the efficiency of the multiobjective evolutionary optimizers and also the ability of the technique to derive optimal structures that can be used in practice.",
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Dielectric filter optimal design suitable for microwave communications by using multiobjective evolutionary algorithms. / Goudos, S. K.; Zaharis, Z. D.; Salazar-Lechuga, M.; Lazaridis, P. I.; Gallion, P. B.

In: Microwave and Optical Technology Letters, Vol. 49, No. 10, 10.2007, p. 2324-2329.

Research output: Contribution to journalArticle

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