Abstract
A genetic-algorithm (GA) procedure has been ad hoc implemented to
obtain a tool for both design and characterization of rare-earth-doped optical amplifiers and lasers. In particular,
the routines performing the selection, crossover, mutation, and elitism operations have been written with the aim to
investigate the optimal erbium-doped amplifier or laser configuration. Conversely, the GA can be employed in device
characterization to identify those parameters of the erbium-energy-level transitions, which are not directly
measurable, e.g., the cross-relaxation and up-conversion coefficients. The GA appears intriguing because of its
efficiency and versatility. Its operation strategy is noticeably for the capability to identify solutions in complex
multidimensional spaces. In this paper, the GA application for modeling and characterizing erbium-doped
photonic-crystal-fiber amplifiers is described in detail.
© 2007 IEEE
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