Studies on numerical methodologies for inverse problems and optimizations in China

• Shiyou Yang ^[1] ; S.L. Ho ^[2] ; Yingying Yao ^[1] ; Lei Liu ^[1] ; Lie Wu ^[1]
  1. [1] Zhejiang University

     Zhejiang University

     China

     
  2. [2] Hong Kong Polytechnic University

     Hong Kong Polytechnic University

     RAE de Hong Kong (China)

     
• Localización: Compel: International journal for computation and mathematics in electrical and electronic engineering, ISSN 0332-1649, Vol. 33, Nº 1-2 (Special Issue: ICEF 2012), 2014, págs. 56-64
• Idioma: inglés
• Enlaces
  • Texto completo
• Resumen

  • Purpose – The purpose of this paper is to explore the potential challenges in developing numerical methodologies for inverse problems and optimizations.

    Design/methodology/approach – Summarizing previous research results mainly contributed by two research groups of Zhejiang University and Hong Kong Polytechnic University.

    Findings – Computational intelligence plays an essential role in studying inverse problems and optimizations.

    Originality/value – An up-to-date review on the current status of numerical methodologies, especially computational intelligences, for inverse problems and optimizations contributed by Chinese researchers.