rdr.zip (453.31 kB)
An Artificial Intelligence Approach to Optimal Control of Sub-Nanosecond SOA-Based Optical Switches
Version 2 2020-06-29, 14:44
Version 1 2020-05-22, 10:49
dataset
posted on 2020-05-22, 10:49 authored by Christopher ParsonsonChristopher Parsonson, Zacharaya ShabkaZacharaya Shabka, Konrad Chlupka, Bawang Goh, Georgios ZervasGeorgios ZervasThis dataset contains 1) the data plotted and 2) the MATLAB code used to generate the data for the paper 'An Artificial Intelligence Approach to Optimal Control of Sub-Nanosecond SOA-Based Optical Switches'.
All data has been organised into clear folders to accompany the paper, where each folder has been named in the context of the figures presented in the paper. All data is given in .csv format, which can be downloaded by the reader and analysed/processed however they wish.
All data has been organised into clear folders to accompany the paper, where each folder has been named in the context of the figures presented in the paper. All data is given in .csv format, which can be downloaded by the reader and analysed/processed however they wish.
The paper accompanying these data has not yet been published - we will provide the link when it has.
Funding
Engineering and Physical Sciences Research Council grant EP/R041792/1
Engineering and Physical Sciences Research Council grant EP/L015455/1
Industrial Cooperative Awards in Science and Technology grant EP/R513143/1
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Keywords
Data centre networksOptical networksOptical interconnectsOptical switchingSemiconductor optical amplifiersArtificial IntelligenceParticle swarm optimisationAnt colony optimisationGenetic algorithmNetworking and CommunicationsOptical Networks and SystemsComputer Communications NetworksAnalysis of Algorithms and Complexity
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