Gene Expression Programming for Python
Project description
PyGEP is a simple library suitable for academic study of GEP (Gene Expression Programming) in Python, aiming for ease of use and rapid implementation. It provides standard multigenic chromosomes; a population class using elitism and fitness scaling for selection; mutation, crossover and transposition operators; and some standard GEP functions and linkers.
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distributions
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file PyGEP-0.1.1.beta_r42-py2.5.egg.
File metadata
- Download URL: PyGEP-0.1.1.beta_r42-py2.5.egg
- Upload date:
- Size: 27.9 kB
- Tags: Egg
- Uploaded using Trusted Publishing? No
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
ff824c2a35d0e584d0f975fd090f59707c3b6311db0d84828169ce73bdce69cd
|
|
| MD5 |
44a581f004d607f7cfaeb85895cb627a
|
|
| BLAKE2b-256 |
c24bb559ca5f8fbad134dcd0adba7b3e5e31581069329b1d8723002853945f5b
|
