Advanced design and optimization of single mode photonic crystal fibers

作者：Pourmahayabadi M^*; Nejad S Mohammad

来源：Journal of Modern Optics, 2009, 56(14): 1572-1581.

DOI：10.1080/09500340903184311

• differential evolution
• estimation of distribution algorithm
• dispersion
• dispersion slope
• loss
• Nero-Fuzzy system
• photonic crystal fiber

This paper proposes a combination of differential evolution (DE) and estimation of distribution algorithm (EDA) to design photonic crystal fiber structures with desired properties over the C communication band. In order to determine the properties of PCFs such as dispersion, dispersion slope and loss, an artificial intelligence method, the Nero-Fuzzy system, is applied. In addition, a special cost function which simultaneously includes the confinement loss, dispersion and its slope is used in the proposed design approach. The results revealed that the proposed method is a powerful tool for solving this optimization problem. The optimized PCF exhibits an ultra low confinement loss and low dispersion at 1.55 mu m wavelength with a nearly zero dispersion slope over the C communication band.

• 出版日期2009