Title :
Embedded stochastic-deterministic optimization method with accuracy control
Author :
Ioan, Daniel ; Ciuprina, Gabriela ; Szigeti, Andras
Author_Institution :
Dept. of Electr. Eng., Bucharest Univ., Romania
fDate :
5/1/1999 12:00:00 AM
Abstract :
A distributed evolutionary strategy is used to solve the optimization problem in a subspace of the searching space. At each cost function evaluation, a deterministic method is used to find the optimal solution in the complementary subspace, with an imposed accuracy. The proposed method is applied to solve TEAM Workshop problem 22 with the control of the numerical error. In this case the stochastic method acts in the geometrical parameter subspace and an embedded deterministic technique is used in the 2D current densities subspace. The application of the technique to superconducting magnetic energy storage is discussed
Keywords :
current density; electromagnetic fields; genetic algorithms; stochastic processes; superconducting magnet energy storage; 2D current densities subspace; TEAM Workshop problem 22; accuracy control; complementary subspace; cost function evaluation; deterministic method; distributed computing; distributed evolutionary strategy; electromagnetic analysis; embedded stochastic-deterministic optimization; genetic algorithm; numerical error control; optimal solution; searching space; stochastic method; subspace; superconducting magnetic energy storage; Cost function; Electromagnetic devices; Error correction; Laboratories; Magnetic analysis; Optimization methods; Samarium; Stochastic processes; Superconducting coils; Superconducting magnetic energy storage;
Journal_Title :
Magnetics, IEEE Transactions on
