Title :
Design of Jaumann absorbers using adaptive genetic algorithm
Author :
Foroozesh, Ali Reza ; Cheldavi, Ahmad ; Hodjat, Farokh
Author_Institution :
Dept. of Electr. Eng., Iran Univ. of Sci. & Technol., Tehran, Iran
Abstract :
In this paper, an adaptive genetic algorithm whose operators are sensitive to the state of the problem, has been introduced and applied for designing Jaumann absorbers. The Jaumann absorbers have appropriate characteristics, considering our specified conditions. The optimization algorithm was used to reduce the reflection coefficient and the thickness of the dielectrics. An error analysis has also been performed on this design, which shows its reliability for fabrication.
Keywords :
dielectric materials; electromagnetic wave absorption; electromagnetic wave reflection; error analysis; genetic algorithms; microwave propagation; 8 to 12 GHz; Jaumann absorbers; adaptive genetic algorithm; dielectrics; error analysis; fabrication; operators; optimization algorithm; reflection coefficient; thickness; Admittance; Algorithm design and analysis; Biological cells; Dielectric materials; Error analysis; Frequency; Genetic algorithms; Genetic mutations; Reflection; Transmission lines;
Conference_Titel :
Antennas, Propagation and EM Theory, 2000. Proceedings. ISAPE 2000. 5th International Symposium on
Conference_Location :
Beijing, China
Print_ISBN :
0-7803-6377-9
DOI :
10.1109/ISAPE.2000.894766
