Overview of Package¶
This project formed part of the journal paper An Artificial Intelligence Approach to Optimal Control of Sub-Nanosecond SOA-Based Optical Switches. All data (https://doi.org/10.5522/04/12356696.v1) used in the paper for PSO were generated with this code. The PSO algorithm is used to optimise the driving signal for SOA switches both in simulation and experiment.
soa package can be used to quickly and easily play around with different SOA simulations
and PSO hyperparameters.
Follow the instructions to install this project, then have a look at the tutorial. This project is not actively maintained, therefore the best way to get started is to follow the simple tutorial example(s) to become familiar with using some basic parts of the code, then have a look inside the code to understand how the different methods and functions work. You can then edit the code yourself according to what you want to investigate with respect to PSO and SOA drive signal optimisation.
Unfortunately the Python code for this project is not the most clean, however there are not too many lines of complex interdependencies/file structures to deal with and the code is commented sufficiently such that you should be able to read through it and adapt it as you wish. Intermediate-strong Python programmers are encouraged to completely re-write parts they consider poorly implemented.
This is free software; you can redistribute it and/or modify it under the terms of the Apache License 2.0. Contributions and forks are welcome - see the contribute guide. Contact firstname.lastname@example.org for questions.