Fast parallel Particle Swarm Optimization package for Python
fastPSO is an open source software library for Particle Swarm Optimization built with two goals in mind:
- Speed
- Parallelism
Its flexible architecture enables you to define complex objective functions, and to perform optimization in a serial or parallel setting. In addition, it offers detailed insights on the optimization process, helping practitioners profile their results.
pip package
pip install fastpso
- numpy
tbd
fastPSO is available under MIT License
If you plan on using this software for scientific purposes, please cite our work:
@inproceedings{lorenzo2017particle,
title={Particle swarm optimization for hyper-parameter selection in deep neural networks},
author={Lorenzo, Pablo Ribalta et al.},
booktitle={Proceedings of the Genetic and Evolutionary Computation Conference},
pages={481--488},
year={2017},
organization={ACM}
}
@inproceedings{lorenzo2017hyper,
title={Hyper-parameter selection in deep neural networks using parallel particle swarm optimization},
author={Lorenzo, Pablo Ribalta et al.},
booktitle={Proceedings of the Genetic and Evolutionary Computation Conference Companion},
pages={1864--1871},
year={2017},
organization={ACM}
}
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