An improved vector evolutionary algorithm for multiobjective designs of electromagnetic devices

Man Nie, Shiyou Yang, Guangzheng Ni, Siu Lau Ho, Peihong Ni

Research output: Journal article publicationJournal articleAcademic researchpeer-review

1 Citation (Scopus)

Abstract

Thanks to the success in the design of a simple sharing function, the introduction of a novel fitness assignment strategy, and the development of a new local search procedure, this paper proposes an improved evolutionary algorithm for optimal problems involving several, often conflicting objectives. The simulation results on solving a mathematical function and a prototype problem reveal that the proposed method is effective in sampling the entire Pareto-optimal front and in distributing the generated solutions over the trade-off surface.
Original languageEnglish
Pages (from-to)711-715
Number of pages5
JournalInternational Journal of Applied Electromagnetics and Mechanics
Volume25
Issue number1-4
Publication statusPublished - 4 Jun 2007

Keywords

  • Evolutionary algorithm
  • Multiobjective optimization
  • Optimal design
  • Pareto optimal

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Mechanics of Materials
  • Computational Mechanics
  • Physics and Astronomy (miscellaneous)

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