Using Genetic Algorithms for Optimization of Magnetic Pulse Forming Installations Based on PSPICE Model
Genetic algorithms are general-purposesearch techniques based on the mechanisms of naturalselection and population genetics. They are appealingbecause of their simplicity, extensibility, easyinterfacing possibility and since they need only verylittle knowledge about the problem. This paperattempts t...
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| Format: | Article |
| Language: | English |
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Editura Universităţii din Oradea
2009-05-01
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| Series: | Journal of Electrical and Electronics Engineering |
| Subjects: | |
| Online Access: | http://electroinf.uoradea.ro/reviste%20CSCS/documente/JEEE_2009/Articole_pdf_JEEE_EE_nr_1/JEEE_2009_Nr_1_EE_Vladu_Using.pdf |
| _version_ | 1818538485123907584 |
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| author | Vladu Ecaterina Tomse Marin Sorin Pasca |
| author_facet | Vladu Ecaterina Tomse Marin Sorin Pasca |
| author_sort | Vladu Ecaterina |
| collection | DOAJ |
| description | Genetic algorithms are general-purposesearch techniques based on the mechanisms of naturalselection and population genetics. They are appealingbecause of their simplicity, extensibility, easyinterfacing possibility and since they need only verylittle knowledge about the problem. This paperattempts to show how genetic algorithm can be usedtogether with PSPICE simulation program todynamically implement some optimization problemsthat can use fitness function derived from a simulationprocess. Particularly, this optimization technique isapplied in the design of a magnetic pulse forminginstallation. |
| first_indexed | 2024-12-11T21:29:33Z |
| format | Article |
| id | doaj.art-a15b950df3f141028fce7b9b3c27821e |
| institution | Directory Open Access Journal |
| issn | 1844-6035 |
| language | English |
| last_indexed | 2024-12-11T21:29:33Z |
| publishDate | 2009-05-01 |
| publisher | Editura Universităţii din Oradea |
| record_format | Article |
| series | Journal of Electrical and Electronics Engineering |
| spelling | doaj.art-a15b950df3f141028fce7b9b3c27821e2022-12-22T00:50:13ZengEditura Universităţii din OradeaJournal of Electrical and Electronics Engineering1844-60352009-05-0121104108Using Genetic Algorithms for Optimization of Magnetic Pulse Forming Installations Based on PSPICE ModelVladu EcaterinaTomse MarinSorin PascaGenetic algorithms are general-purposesearch techniques based on the mechanisms of naturalselection and population genetics. They are appealingbecause of their simplicity, extensibility, easyinterfacing possibility and since they need only verylittle knowledge about the problem. This paperattempts to show how genetic algorithm can be usedtogether with PSPICE simulation program todynamically implement some optimization problemsthat can use fitness function derived from a simulationprocess. Particularly, this optimization technique isapplied in the design of a magnetic pulse forminginstallation.http://electroinf.uoradea.ro/reviste%20CSCS/documente/JEEE_2009/Articole_pdf_JEEE_EE_nr_1/JEEE_2009_Nr_1_EE_Vladu_Using.pdfmagnetic pulse formingoptimal designgenetic algorithmsPSPICE model |
| spellingShingle | Vladu Ecaterina Tomse Marin Sorin Pasca Using Genetic Algorithms for Optimization of Magnetic Pulse Forming Installations Based on PSPICE Model Journal of Electrical and Electronics Engineering magnetic pulse forming optimal design genetic algorithms PSPICE model |
| title | Using Genetic Algorithms for Optimization of Magnetic Pulse Forming Installations Based on PSPICE Model |
| title_full | Using Genetic Algorithms for Optimization of Magnetic Pulse Forming Installations Based on PSPICE Model |
| title_fullStr | Using Genetic Algorithms for Optimization of Magnetic Pulse Forming Installations Based on PSPICE Model |
| title_full_unstemmed | Using Genetic Algorithms for Optimization of Magnetic Pulse Forming Installations Based on PSPICE Model |
| title_short | Using Genetic Algorithms for Optimization of Magnetic Pulse Forming Installations Based on PSPICE Model |
| title_sort | using genetic algorithms for optimization of magnetic pulse forming installations based on pspice model |
| topic | magnetic pulse forming optimal design genetic algorithms PSPICE model |
| url | http://electroinf.uoradea.ro/reviste%20CSCS/documente/JEEE_2009/Articole_pdf_JEEE_EE_nr_1/JEEE_2009_Nr_1_EE_Vladu_Using.pdf |
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