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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| Glavni autori: | , , , , |
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| Format: | Artigo |
| Jezik: | Inglês |
| Izdano: |
MDPI AG
2026-03-01
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| Serija: | Machines |
| Teme: | |
| Online pristup: | https://www.mdpi.com/2075-1702/14/3/272 |
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