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

Research output: Journal article publicationJournal articleAcademic researchpeer-review

24 Citations (Scopus)


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 languageEnglish
Pages (from-to)1013-1016
Number of pages4
JournalIEEE Transactions on Magnetics
Issue number2 I
Publication statusPublished - 1 Mar 2002


  • Fitness sharing
  • Multiobjective optimization
  • Ranking
  • Tabu search
  • Vector optimization

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Physics and Astronomy (miscellaneous)

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