Multi-Run Genetic Algorithm Approach for Optimal Design of Concentric Reluctance Magnetic Gears
This paper presents a systematic optimization methodology for reluctance magnetic gears (RMGs) using genetic algorithms to maximize peak torque within fixed volume constraints. A multi-run parametric study with population sizes ranging from 50 to 150 individuals demonstrates robust convergence towar...
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| Главные авторы: | , , , , |
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| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
MDPI AG
2026-03-01
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| Серии: | Machines |
| Предметы: | |
| Online-ссылка: | https://www.mdpi.com/2075-1702/14/3/272 |
| Метки: |
Нет меток, Требуется 1-ая метка записи!
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