Optimization of the Method of Auxiliary Sources by the Genetic Algorithm for electromagnetic scattering problem
In this paper, we propose to apply a technique of optimization of the convergence of the auxiliary sources method (MAS) for the problems of electromagnetic diffusion by a perfectly conducting and infinite obstacle. This technique is based on the use of the genetic algorithm (GA). Previous studies ha...
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| Format: | Article |
| Language: | English |
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Advanced Electromagnetics
2020-03-01
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| Series: | Advanced Electromagnetics |
| Subjects: | |
| Online Access: | https://aemjournal.org/index.php/AEM/article/view/1304 |
| _version_ | 1811278455144185856 |
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| author | S. Hidouri T. Aguili |
| author_facet | S. Hidouri T. Aguili |
| author_sort | S. Hidouri |
| collection | DOAJ |
| description | In this paper, we propose to apply a technique of optimization of the convergence of the auxiliary sources method (MAS) for the problems of electromagnetic diffusion by a perfectly conducting and infinite obstacle. This technique is based on the use of the genetic algorithm (GA). Previous studies have shown that the convergence of the MAS solution depends on many parameters such as the number of auxiliary sources and the auxiliary distance between the real surface of the cylinder and the fictitious surface, and so on. The solution is obtained for a good choice of these parameters. In this article, the genetic algorithm is chosen to facilitate the choice of MAS parameters. |
| first_indexed | 2024-04-13T00:34:58Z |
| format | Article |
| id | doaj.art-d863152d41f3468aa563b02ba74c4f86 |
| institution | Directory Open Access Journal |
| issn | 2119-0275 |
| language | English |
| last_indexed | 2024-04-13T00:34:58Z |
| publishDate | 2020-03-01 |
| publisher | Advanced Electromagnetics |
| record_format | Article |
| series | Advanced Electromagnetics |
| spelling | doaj.art-d863152d41f3468aa563b02ba74c4f862022-12-22T03:10:21ZengAdvanced ElectromagneticsAdvanced Electromagnetics2119-02752020-03-019110.7716/aem.v9i1.1304Optimization of the Method of Auxiliary Sources by the Genetic Algorithm for electromagnetic scattering problemS. Hidouri0T. Aguili1University of ElmanarUniversity of ElmanarIn this paper, we propose to apply a technique of optimization of the convergence of the auxiliary sources method (MAS) for the problems of electromagnetic diffusion by a perfectly conducting and infinite obstacle. This technique is based on the use of the genetic algorithm (GA). Previous studies have shown that the convergence of the MAS solution depends on many parameters such as the number of auxiliary sources and the auxiliary distance between the real surface of the cylinder and the fictitious surface, and so on. The solution is obtained for a good choice of these parameters. In this article, the genetic algorithm is chosen to facilitate the choice of MAS parameters.https://aemjournal.org/index.php/AEM/article/view/1304MASscatteringgenetic algorithm |
| spellingShingle | S. Hidouri T. Aguili Optimization of the Method of Auxiliary Sources by the Genetic Algorithm for electromagnetic scattering problem Advanced Electromagnetics MAS scattering genetic algorithm |
| title | Optimization of the Method of Auxiliary Sources by the Genetic Algorithm for electromagnetic scattering problem |
| title_full | Optimization of the Method of Auxiliary Sources by the Genetic Algorithm for electromagnetic scattering problem |
| title_fullStr | Optimization of the Method of Auxiliary Sources by the Genetic Algorithm for electromagnetic scattering problem |
| title_full_unstemmed | Optimization of the Method of Auxiliary Sources by the Genetic Algorithm for electromagnetic scattering problem |
| title_short | Optimization of the Method of Auxiliary Sources by the Genetic Algorithm for electromagnetic scattering problem |
| title_sort | optimization of the method of auxiliary sources by the genetic algorithm for electromagnetic scattering problem |
| topic | MAS scattering genetic algorithm |
| url | https://aemjournal.org/index.php/AEM/article/view/1304 |
| work_keys_str_mv | AT shidouri optimizationofthemethodofauxiliarysourcesbythegeneticalgorithmforelectromagneticscatteringproblem AT taguili optimizationofthemethodofauxiliarysourcesbythegeneticalgorithmforelectromagneticscatteringproblem |