A “design of experiment” and statistical approach to enhance the “generalised response surface” method in the optimisation of multiminima problems

Author

Alotto, Piergiorgio ; Gaggero, Marina ; Molinari, Giorgio ; Nervi, Mario

Author_Institution

Dipartimento di Ingegneria Elettrica, Genoa Univ., Italy

Volume

33

Issue

2

fYear

1997

fDate

3/1/1997 12:00:00 AM

Firstpage

1896

Lastpage

1899

Abstract

The paper discusses the use of different, “design of experiment” and statistical theory based methods to improve and speed up the “generalised response surface method”, using multiquadrics to describe the objective function in parameter space, for the optimization of multiminima design problems in magnetics. The effectiveness of the proposed approach to enhance the convergence of stochastic optimisation algorithms is tested on a couple of test problems and the results are discussed

Keywords

approximation theory; design of experiments; electromagnetism; minimisation; statistical analysis; stochastic processes; approximation method; convergence; design of experiment; generalised response surface; magnetics; multiminima design problems; multiquadrics; objective function; parameter space; statistical approach; statistical theory; stochastic optimisation algorithm; Convergence; Design methodology; Design optimization; Magnetics; Minimization methods; Response surface methodology; Sampling methods; Stochastic processes; Testing; US Department of Energy;

fLanguage

English

Journal_Title

Magnetics, IEEE Transactions on

Publisher

ieee

ISSN

0018-9464

Type

jour

DOI

10.1109/20.582657

Filename

582657