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

Siu Lau Ho; Shiyou Yang; Guangzheng Ni; H. C. Wong

doi:10.1109/20.996260

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

Siu Lau Ho, Shiyou Yang, Guangzheng Ni, H. C. Wong

The Hong Kong Polytechnic University

Research output: Journal article publication › Journal article › Academic research › peer-review

23 Citations (Scopus)

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.

Original language	English
Pages (from-to)	1013-1016
Number of pages	4
Journal	IEEE Transactions on Magnetics
Volume	38
Issue number	2 I
DOIs	https://doi.org/10.1109/20.996260
Publication status	Published - 1 Mar 2002

Keywords

Fitness sharing
Multiobjective optimization
Ranking
Tabu search
Vector optimization

ASJC Scopus subject areas

Electrical and Electronic Engineering
Physics and Astronomy (miscellaneous)

More information

10.1109/20.996260

http://hdl.handle.net/10397/863

Cite this

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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.",

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AB - 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.

KW - Fitness sharing

KW - Multiobjective optimization

KW - Ranking

KW - Tabu search

KW - Vector optimization

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

Abstract

Keywords

ASJC Scopus subject areas

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