A tabu method to find the Pareto solutions of multiobjective optimal design problems in electromagnetics

Author

Ho, S.L. ; Yang, Shiyou ; Ni, Guangzheng ; Wong, H.C.

Author_Institution

Electr. Eng. Dept., Hong Kong Polytech. Univ., China

Volume

38

Issue

2

fYear

2002

fDate

3/1/2002 12:00:00 AM

Firstpage

1013

Lastpage

1016

Abstract

A tabu search algorithm is proposed for finding the Pareto solutions of multiobjective optimal design problems. In this paper, the contact theorem is used to evaluate the Pareto solutions. The ranking selecting approach and the fitness sharing function are also introduced to identify new current points to begin every iteration cycle. Detailed numerical results are reported in this paper to demonstrate the power of the proposed algorithm in ensuring uniform sampling and obtaining the Pareto optimal front of the multiobjective design problems. The most efficient method of implementing the proposed algorithm is also discussed

Keywords

Pareto distribution; electromagnetic field theory; electronic design automation; iterative methods; optimisation; search problems; Pareto optimal front; Pareto solutions; contact theorem; current points; electromagnetics; fitness sharing function; iteration cycle; multiobjective design problems; multiobjective optimal design problems; multiobjective optimization; ranking selecting approach; tabu method; tabu search; tabu search algorithm; uniform sampling; vector optimization; Algorithm design and analysis; Constraint optimization; Design engineering; Design optimization; Electrical engineering; Electromagnetics; Optimization methods; Pareto optimization; Sampling methods; Terminology;

fLanguage

English

Journal_Title

Magnetics, IEEE Transactions on

Publisher

ieee

ISSN

0018-9464

Type

jour

DOI

10.1109/20.996260

Filename

996260