Modeling the optical constants of solids using acceptance-probability-controlled simulated annealing with an adaptive move generation procedure

Aleksandra B. Djurisic-acute, Aleksandar D. Rakic-acute, Jovan M. Elazar

Research output: Contribution to journalArticlepeer-review

57 Scopus citations

Abstract

The acceptance-probability-controlled simulated annealing with an adaptive move generation procedure, an optimization technique derived from the simulated annealing algorithm, is presented. The adaptive move generation procedure was compared against the random move generation procedure on seven multiminima test functions, as well as on the synthetic data, resembling the optical constants of a metal. In all cases the algorithm proved to have faster convergence and superior escaping from local minima. This algorithm was then applied to fit the model dielectric function to data for platinum and aluminum.

Original languageEnglish
Pages (from-to)4797-4803
Number of pages7
JournalPhysical Review E
Volume55
Issue number4
DOIs
StatePublished - 1 Jan 1997
Externally publishedYes

ASJC Scopus subject areas

  • Statistical and Nonlinear Physics
  • Statistics and Probability
  • Condensed Matter Physics

Fingerprint

Dive into the research topics of 'Modeling the optical constants of solids using acceptance-probability-controlled simulated annealing with an adaptive move generation procedure'. Together they form a unique fingerprint.

Cite this