Embedded stochastic-deterministic optimization method with accuracy control

Author

Ioan, Daniel ; Ciuprina, Gabriela ; Szigeti, Andras

Author_Institution

Dept. of Electr. Eng., Bucharest Univ., Romania

Volume

35

Issue

3

fYear

1999

fDate

5/1/1999 12:00:00 AM

Firstpage

1702

Lastpage

1705

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;

fLanguage

English

Journal_Title

Magnetics, IEEE Transactions on

Publisher

ieee

ISSN

0018-9464

Type

jour

DOI

10.1109/20.767353

Filename

767353