Parameters identification of excitation system models using genetic algorithms
โ Scribed by Puma, J.Q.; Colome, D.G.
- Book ID
- 117811905
- Publisher
- The Institution of Engineering and Technology
- Year
- 2008
- Tongue
- English
- Weight
- 230 KB
- Volume
- 2
- Category
- Article
- ISSN
- 1751-8687
No coin nor oath required. For personal study only.
๐ SIMILAR VOLUMES
The paper is concerned about the application of genetic algorithms to the estimation of magnetic hysteresis model parameters, based on the description of magnetization process proposed by Jiles and Atherton. The genetic algorithm approach has been applied to estimation of model parameters for two ma
Genetic algorithms are globally oriented in searching and thus potentially useful in solving optimisation problems in which the objective function responses contain multiple optima and other irregularities. The usefulness of genetic algorithms in calibrating environmental models was investigated in