Nano-aperture grating structure design in ultra-high frequency range based on the GA and the on/OFF method

Sung Moon Song, Jeonghoon Yoo

Research output: Contribution to journalArticle

2 Citations (Scopus)

Abstract

The genetic algorithm (GA) is regarded as one of the best ways for determining a global solution. Because it does not require calculating the design sensitivity differently from the ordinary gradient-based method, it is appropriate for the design problem in the ultra-high frequency range; the ordinary gradient-based method has difficulty in calculating the sensitivity in this range. This paper deals with nano-aperture grating topology optimization based on the GA and the ON/OFF method. The objective of this study is to maximize the transmittance in the measuring area. The simulation and optimization processes are carried out by using the commercial package COMSOL associated with Matlab programming. The final optimal design gives around 21% performance improvement, compared with the initial model.

Original languageEnglish
Pages (from-to)739-744
Number of pages6
JournalTransactions of the Korean Society of Mechanical Engineers, A
Volume36
Issue number7
DOIs
Publication statusPublished - 2012 Jul 1

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Genetic algorithms
Shape optimization
Optimal design

All Science Journal Classification (ASJC) codes

  • Mechanical Engineering

Cite this

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