A multiquadrics-based algorithm for the acceleration of simulated annealing optimization procedures

Author

Alotto, P. ; Caiti, A. ; Molinari, G. ; Repetto, M.

Author_Institution

Dipartimento di Ingegneria Elettrica, Genova Univ., Italy

Volume

32

Issue

3

fYear

1996

fDate

5/1/1996 12:00:00 AM

Firstpage

1198

Lastpage

1201

Abstract

A procedure to significantly reduce the computational cost of the simulated annealing optimization algorithm coupled with analysis methods is proposed for EM devices. The chosen approach relies on the application of the simulated annealing method to an analytical approximation of the true objective function, expressed in the form of a multiquadric expansion. The algorithm is fully described, its potential advantages are pointed out and some test cases showing the effectiveness of the implemented strategy are reported and discussed. As an example the superconducting magnet energy storage device is mentioned

Keywords

computational complexity; electromagnetic devices; finite element analysis; simulated annealing; superconducting magnet energy storage; SMES; acceleration; computational cost; implemented strategy; multiquadrics-based algorithm; simulated annealing optimization procedures; superconducting magnet energy storage device; true objective function; Acceleration; Algorithm design and analysis; Analytical models; Computational efficiency; Computational modeling; Magnetic analysis; Optimization methods; Simulated annealing; Superconducting magnets; Testing;

fLanguage

English

Journal_Title

Magnetics, IEEE Transactions on

Publisher

ieee

ISSN

0018-9464

Type

jour

DOI

10.1109/20.497458

Filename

497458