Multiobjective optimization of inverse problems using a vector cross entropy method

Siu Lau Ho, Shiyou Yang

Research output: Journal article publicationJournal articleAcademic researchpeer-review

11 Citations (Scopus)


To develop an effective vector cross entropy method, multiple probability density functions are introduced; measures to consider both the number of improvements in the objective functions and the amount of improvements in a specified objective function are proposed. An information sharing mechanism is also designed. To demonstrate and showcase the feasibility and advantage of the proposed algorithm, both high and low frequency inverse problems are solved and reported in this paper.
Original languageEnglish
Article number6136631
Pages (from-to)247-250
Number of pages4
JournalIEEE Transactions on Magnetics
Issue number2
Publication statusPublished - 1 Feb 2012


  • Cross entropy method
  • inverse problem
  • multiobjective optimization
  • vector optimal algorithm

ASJC Scopus subject areas

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


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