Stochastic optimization of low-loss optical negative-index metamaterial

Alexander V. Kildishev, Uday K. Chettiar, Zhengtong Liu, Vladimir M. Shalaev, Do Hoon Kwon, Zikri Bayraktar, Douglas H. Werner

Research output: Contribution to journalArticlepeer-review

27 Scopus citations


Optical metamaterial consisting of metal-dielectric composites creates a complicated system that is not amenable to analytical solutions. This presents a challenge in optimizing these intricate systems. We present the application of three nature-inspired stochastic optimization techniques in conjunction with fast numerical electromagnetic solvers to yield a metamaterial that satisfies a required design criterion. In particular, three stochastic optimization tools (genetic algorithm, particle swarm optimization, and simulated annealing) are used for designing a low-loss optical negative index metamaterial. A negative refractive index around -0.8 + 0.2i is obtained at a wavelength of 770 nm. The particle swarm optimization algorithm is found to be the most efficient in this case.

Original languageEnglish (US)
Pages (from-to)A34-A39
JournalJournal of the Optical Society of America B: Optical Physics
Issue number10
StatePublished - Oct 2007

All Science Journal Classification (ASJC) codes

  • Statistical and Nonlinear Physics
  • Atomic and Molecular Physics, and Optics


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