FFEAT
Framework For Evolutionary Algorithms in Torch
This library implements various evolutionary algorithms, specifically
- Genetic Algorithms in
ffeat.geneticmodule. - Real-Coded Evolutionary Algorithms in
ffeat.strategiesmodule. - Evolution Strategies in
ffeat.strategiesmodule. - Particle Swarm Optimisation in
ffeat.psomodule.
The algorithms are fully vectorized and can run on GPU.
Each module consists of selection, crossover, and mutation submodule implementing relevant operators
(with the exception of PSO algorithm).
The operators may be arbitrarily combined.
See examples for more information on how to use the library.
This library was developed as part of my master thesis: https://github.com/PatrikValkovic/MasterThesis. You can find more information about the implementation there.
Author: Patrik Valkovič
License: MIT
1 maintainer
Release files for FFEAT 1.0.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| FFEAT-1.0.0.tar.gz | 47.3 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| FFEAT-1.0.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size:124.3 kB
Release files / FFEAT-1.0.0.tar.gz
| Download URL | FFEAT-1.0.0.tar.gz |
|---|---|
| Size | 47.3 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
37bd9fc68180e584f195ed3d673f282be0da59a70e07674ed0bd75795556dc82
|
|
BLAKE2b-256 checksum How to use checksums |
0d700d99e2429a3811147e044d8d6b4e9b8d7d7967b2f91cbd27e47468e8278b
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.3.0 pkginfo/1.7.0 requests/2.25.1 setuptools/54.0.0 requests-toolbelt/0.9.1 tqdm/4.59.0 CPython/3.8.8
|
Release files / FFEAT-1.0.0-py3-none-any.whl
| Download URL | FFEAT-1.0.0-py3-none-any.whl |
|---|---|
| Size | 77.0 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
8f9c846e88cd60183ae55acb8321d73cad0769bc1bfda1962b625e2265a42ccd
|
|
BLAKE2b-256 checksum How to use checksums |
909082661fb013081fd3eba6e9590695bea33dcdf6b38143389631cb7018b9c7
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.3.0 pkginfo/1.7.0 requests/2.25.1 setuptools/54.0.0 requests-toolbelt/0.9.1 tqdm/4.59.0 CPython/3.8.8
|
