Abstract
Optical network is the corner stone for the high data rate/throughput applications due to the wide bandwidth allowed in optical channel. Additionally, optical network tackled the delay problem since data is reformed into equivalent light and transmitted light speed to the destinations e.g. 3 × 10 8 m/h. Data can travel in optical domain over the light-path in high rate approaching to tens of Gigabits. Routing of data in optical domain is controlled by the wavelength division multiplexing (WDM) scheme in which allotting each wavelength at the ingress of optical fiber with its suitable bandwidth. Bandwidth of optical path is being optimized in order to utilize the fiber resources efficiently using Artificial Neural Network (ANN). In this paper Artificial Bee Colony (ABC) algorithm is used for optimizing the performance of ANN which is predicting the wavelength of the optical path.
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