Computational methods for the innovative design of electrical devices
Computational Methods for the Innovative Design of Electrical Devices is entirely focused on the optimal design of various classes of electrical devices. Emerging new methods, like e.g. those based on genetic algorithms, are presented and applied in the design optimization of different devices and s...
Guardat en:
| Altres autors: | , |
|---|---|
| Format: | Livre numérique |
| Idioma: | Anglais |
| Publicat: |
Berlin, Heidelberg :
Springer Berlin Heidelberg
[20..].
Cham : Springer Nature |
| Edició: | 1st ed. 2011. |
| Col·lecció: | Studies in Computational Intelligence
327 |
| Accés en línia: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Nota: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Computational Methods for the Innovative Design of Electrical Devices, Texte imprimé, 9783642162244 • Computational Methods for the Innovative Design of Electrical Devices, Texte imprimé, 9783642423031 • Computational Methods for the Innovative Design of Electrical Devices, Texte imprimé, 9783642162244 • Computational Methods for the Innovative Design of Electrical Devices, Texte imprimé, 9783642162268 |
Taula de continguts:
- Integrated Computer Models of 3-D Comb Drive Electrostatic MEMS Structures .-Multiobjective Design Optimization of Slotless PM Motors Using Genetic Algorithms based on Analytical Field Calculation The FEM parallel simulation with look up tables applied to the brushless DC motor optimization Fast algorithms for the design of complex-shape devices in electromechanics Optimization of Wound Rotor Synchronous Generators based on Genetic Algorithms Simple and Fast Algorithms for the Optimal Design of Complex Electrical Machines.-The flock of starlings optimization: influence of topological rules on the collective behavior of swarm intelligence Multilevel Data Classification and Function Approximation Using Hierarchical Neural Networks Parametric identification of a three-phase machine with genetic algorithms Ridge Polynomial Neural Network for Non-Destructive Eddy Current Evaluation Structural-Systematic Approach in Magnetic Separators Design Weight Reduction of Electromagnet in Magnetic Levitation System for Contactless Delivery Application Genetic algorithm algorithm applied in optimal design of PM disc motor using specific power as objective Magnetically Nonlinear Iron Core Characteristics of Transformers Determined by Differential Evolution Different Methods for Computational Electromagnetics: their Characteristics and Typical Pratical Applications.-Methods of homogenization of laminated structures.-Application examples