Performance improvement of a hybrid optimization algorithm for electromagnetic devices design

Author

Fanni, Alessandra ; Marchesi, Michele ; Serri, Antonino ; Usai, Mariangela

Author_Institution

Cagliari Univ., Italy

Volume

35

Issue

3

fYear

1999

fDate

5/1/1999 12:00:00 AM

Firstpage

1698

Lastpage

1701

Abstract

In this paper, an investigation of the behavior of a recently defined hybrid algorithm for continuous variables electromagnetic optimization problems is presented. This algorithm makes use of the nonlinear simplex method as a principal optimizator, and a greedy genetic algorithm to explore the search space. The algorithm is greatly affected by the tuning of some parameters. Referring to a solenoids system optimal design problem, a detailed comparison of performances obtained implementing a metaheuristic tuning is presented

Keywords

electromagnetic devices; genetic algorithms; solenoids; continuous variables electromagnetic optimization problems; electromagnetic devices design; greedy genetic algorithm; hybrid optimization algorithm; metaheuristic tuning; nonlinear simplex method; performance comparison; performance improvement; search space; solenoids system; Algorithm design and analysis; Design optimization; Electromagnetic compatibility; Electromagnetic devices; Genetic algorithms; Magnetic field measurement; Optimization methods; Solenoids; Space exploration; Stochastic processes;

fLanguage

English

Journal_Title

Magnetics, IEEE Transactions on

Publisher

ieee

ISSN

0018-9464

Type

jour

DOI

10.1109/20.767346

Filename

767346