Simulated-annealing-based genetic algorithm for modeling the optical constants of solids

Aleksandra B. Djurišić, Jovan M. Elazar, Aleksandar D. Rakić

Research output: Contribution to journalArticlepeer-review

16 Scopus citations


We propose a simulated-annealing-based genetic algorithm for solving model parameter estimation problems. The algorithm incorporates advantages of both genetic algorithms and simulated annealing. Tests on computer-generated synthetic data that closely resemble optical constants of a metal were performed to compare the efficiency of plain genetic algorithms against the simulated-annealing-based genetic algorithms. These tests assess the ability of the algorithms to find the global minimum and the accuracy of values obtained for model parameters. Finally, the algorithm with the best performance is used to fit the model dielectric function to data for platinum and aluminum.

Original languageEnglish
Pages (from-to)7097-7103
Number of pages7
JournalApplied Optics
Issue number28
StatePublished - 1 Oct 1997
Externally publishedYes


  • Genetic algorithms
  • Optical constants
  • Simulated annealing

ASJC Scopus subject areas

  • Atomic and Molecular Physics, and Optics
  • Engineering (miscellaneous)
  • Electrical and Electronic Engineering


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