Fast parallel PSO library for Python with support for CPU and GPU multithreading.
Project description
# fastPSO
[](https://travis-ci.org/pribalta/fastPSO)
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.
## Installation
__pip__ __package__
```
pip install fastpso
```
### Requirements
* numpy
## Getting started
tbd
## License
__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}
}
```
[](https://travis-ci.org/pribalta/fastPSO)
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.
## Installation
__pip__ __package__
```
pip install fastpso
```
### Requirements
* numpy
## Getting started
tbd
## License
__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}
}
```
Project details
Release history Release notifications
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Filename, size | File type | Python version | Upload date | Hashes |
---|---|---|---|---|
Filename, size fastPSO-0.0.2-py3-none-any.whl (9.2 kB) | File type Wheel | Python version py3 | Upload date | Hashes View hashes |
Filename, size fastPSO-0.0.2.tar.gz (7.6 kB) | File type Source | Python version None | Upload date | Hashes View hashes |