Abstract
In this paper, an improved niching genetic algorithm applying the concept of auto-tuning and detecting traces is proposed for asymmetrical multimodal function optimization. Population size and both (right and left) niche radii of each peak in an asymmetrical objective function can be determined automatically. This method is applied to the numerical examples and the optimal design of interior permanent magnet synchronous machine (IPMSM). Through the comparison between simulation results and experimental ones, the validity of the proposed method is verified.
| Original language | English |
|---|---|
| Pages (from-to) | 37-45 |
| Number of pages | 9 |
| Journal | International Journal of Applied Electromagnetics and Mechanics |
| Volume | 29 |
| Issue number | 1 |
| DOIs | |
| State | Published - 2009 |
| Externally published | Yes |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
-
SDG 7 Affordable and Clean Energy
Keywords
- Auto-tuning concept
- Detecting trace
- Interior permanent magnet machine
- Niching genetic algorithm
Fingerprint
Dive into the research topics of 'Optimal design of interior-permanent magnet synchronous machine for vehicle using improved niching genetic algorithm'. Together they form a unique fingerprint.Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver