Design optimization of metamaterial units using a genetic algorithm based optimization methodology

• Yiying Li ^[1] ; Shiyou Yang ^[1]
  1. [1] Zhejiang University, China
• Localización: Compel: International journal for computation and mathematics in electrical and electronic engineering, ISSN 0332-1649, Vol. 40, Nº 1, 2021, págs. 18-26
• Idioma: inglés
• Enlaces
  • Texto completo
• Resumen

  • Purpose The purpose of this paper is to develop a pertinent design optimization methodology for symmetric designs of a metamaterial (MM) unit.

    Design/methodology/approach A cell division mechanism is introduced and used to design a new selecting mechanism in the proposed algorithm, a non-dominated sorting cellular genetic algorithm (NSCGA).

    Findings The numerical results on solving standard multi-objective test functions and a prototype MM unit positively demonstrate the advantages of the proposed NSCGA.

    Originality/value A new NSGAII-based optimization algorithm, NSCGA, for multi-objective optimization designs of a MM unit is proposed.