An emigration genetic algorithm and its application to multiobjective optimal designs of electromagnetic devices

Yuhuai Wang, Shiyou Yang, Guangzheng Ni, Siu Lau Ho, Z. J. Liu

Research output: Journal article publicationJournal articleAcademic researchpeer-review

Abstract

The emigration genetic algorithm, which is a genetic-based algorithm, is proposed to obtain the Pareto optimal solution of vector optimal designs of electromagnetic devices. The proposed algorithm differs from the traditional ones in its design of an emigration operator as well as the inclusion of some useful approaches such as the fitness sharing, clustering, and elitism strategy. Detailed numerical results on three different multiobjective design problems are reported to demonstrate the effectiveness and advantages of the proposed algorithm for solving practical engineering multi-objective optimal design problems.
Original languageEnglish
Pages (from-to)1240-1243
Number of pages4
JournalIEEE Transactions on Magnetics
Volume40
Issue number2 II
DOIs
Publication statusPublished - 1 Mar 2004

Keywords

  • Emigration operator
  • Genetic algorithm (GA)
  • Numerical method
  • Vector optimization

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Electrical and Electronic Engineering

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