The Design and Optimization of an Ion-Exchanged Polarization Converter Using a Genetic Algorithm

In this work, a genetic algorithm is used for the optimization of the design parameters of an integrated optical polarization converter on a glass substrate. The algorithm is applied to find the minimum possible length for the converter. The required asymmetry for the structure is realized with the...

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Bibliographic Details
Published inIEEE photonics technology letters Vol. 19; no. 16; pp. 1218 - 1220
Main Authors Nassar, I.M., El-Refaei, H., Khalil, D., Omar, O.A.
Format Journal Article
LanguageEnglish
Published New York IEEE 15.08.2007
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects
Algorithm design and analysis
Algorithms
Asymmetry
Computer simulation
Converters
Design optimization
Design parameters
Diffusion equations
Equations
Genetic algorithms
Glass
Integrated optics
Optical design
Optical polarization
Optical waveguides
Optimization
Polarization
Temperature
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Summary:In this work, a genetic algorithm is used for the optimization of the design parameters of an integrated optical polarization converter on a glass substrate. The algorithm is applied to find the minimum possible length for the converter. The required asymmetry for the structure is realized with the aid of a cleaving process following the ion-exchange process. Simulation results show the possibility of realizing such a low-cost integrated converter. The obtained results demonstrate the importance of using such an algorithm in integrated optics problems where several design parameters such as the geometrical dimensions, the temperature, and the time duration are to be optimized.
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ISSN:1041-1135
1941-0174
DOI:10.1109/LPT.2007.901745