Multiparameter optimization of a Raman fiber amplifier using a genetic algorithm for an L-band dense wavelength division multiplexed system

Singh, Simranjit; Saini, Sonak; Kaur, Gurpreet; Kaler, R.S.

doi:10.1117/1.oe.53.1.016103

Search citation statements

Order By: Relevance

Paper Sections

Select...

A)1

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2014

2017

Publication Types

Select...

Article5

Relationship

Self Cite0

Independent5

Authors

Journals

Cited by 12 publications

(1 citation statement)

References 16 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…These adaptive algorithms have been employed in a verity of scientific and engineering problems forming computational models of "natural selection" and evolutionary systems. [20][21][22][23][24] GAs are also used to optimize various electromagnetic properties of optical devices and systems [25][26][27][28][29][30][31][32] and specifically scattering problems. [33][34][35][36][37][38] Here, we briefly outline the algorithm that we use in our simulations.…”

Section: A)mentioning

confidence: 99%

Superscattering of light optimized by a genetic algorithm

Mirzaei

Miroshnichenko

Shadrivov

et al. 2014

Applied Physics Letters

View full text Add to dashboard Cite

We analyse scattering of light from multi-layer plasmonic nanowires and employ a genetic algorithm for optimizing the scattering cross section. We apply the mode-expansion method using experimental data for material parameters to demonstrate that our genetic algorithm allows designing realistic core-shell nanostructures with the superscattering effect achieved at any desired wavelength. This approach can be employed for optimizing both superscattering and cloaking at different wavelengths in the visible spectral range.

show abstract