Title :
Genetic algorithm and Taylor development of the finite element solution for shape optimization of electromagnetic devices
Author :
Saludjian, L. ; Coulomb, J.l. ; Izabelle, A.
Author_Institution :
Lab. d´´Electrotech. de Grenoble, CNRS, St. Martin d´´Heres, France
fDate :
9/1/1998 12:00:00 AM
Abstract :
This paper presents the optimization of an electromagnetic superconducting device by a genetic algorithm. To avoid the great computational cost of finite elements evaluations, we chose to couple our genetic algorithm with a fast evaluation method based on high derivatives and Taylor development of the finite element solution
Keywords :
electromagnetic devices; finite element analysis; genetic algorithms; superconducting coils; superconducting magnets; EM device optimization; EM superconducting device; Taylor development; electromagnetic devices; fast evaluation method; finite element solution; genetic algorithm; high derivatives; shape optimization; Computational efficiency; Electromagnetic devices; Finite element methods; Genetic algorithms; Genetic mutations; Leg; Partial response channels; Shape; Superconducting devices; Superconducting magnets;
Journal_Title :
Magnetics, IEEE Transactions on
