The use of a genetic algorithm in optical thin film design and optimisation

Authors

  • Efrem Ejigu Department of Electrical and Electronic Engineering Science, University of Johannesburg
  • Beartys Lacquet Faculty of Engineering and the Built Environment, University of the Witwatersrand

Keywords:

crossover, Fourier transform, genetic algorithm, merit value, mutation, optimisation, starting population

Abstract

We used a genetic algorithm in the design and optimisation of optical thin films and present the effects of the choice of variables, refractive index and optical thickness, in both applications of this algorithm, in this paper. The Fourier transform optical thin film design method was used to create a starting population, which was later optimised by the genetic algorithm. In the genetic algorithm design application, the effect of the choice of variable was not distinct, as it depended on the type of design specification. In the genetic algorithm optimisation application, the choice of refractive index as a variable showed a better performance than that of optical thickness. The results of this study indicate that a genetic algorithm is more effective in the design application than in the optimisation application of optical thin film synthesis.

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Author Biographies

Efrem Ejigu, Department of Electrical and Electronic Engineering Science, University of Johannesburg

Departement of Electrical and electronics engineering science, Faculty of engineering and the built.

Doctoral student

Beartys Lacquet, Faculty of Engineering and the Built Environment, University of the Witwatersrand

Departement of Electrical and electronics engineering science, Faculty of engineering and the built.

Proffesor and executive dean

Published

2010-07-05

How to Cite

Ejigu, E., & Lacquet, B. (2010). The use of a genetic algorithm in optical thin film design and optimisation. South African Journal of Science, 106(7/8), 4 pages. Retrieved from https://sajs.co.za/article/view/10131