Evolutionary algorithms for optimization problems
Project description
Optimitz Package
Documentation in progress...
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 Distribution
optimitz-0.0.1.tar.gz
(22.0 kB
view details)
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
optimitz-0.0.1-py3-none-any.whl
(22.9 kB
view details)
File details
Details for the file optimitz-0.0.1.tar.gz.
File metadata
- Download URL: optimitz-0.0.1.tar.gz
- Upload date:
- Size: 22.0 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.11.11
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
c0eb843ccbe0a83cf482a5a07a8873090486cf78d93d6724f2855a0672e5b416
|
|
| MD5 |
955e383d2da991c84d7c3fa13d9d702a
|
|
| BLAKE2b-256 |
c474677078cf6e31e24e70e571ad70f9442876d34654aecdebc1788e469ef970
|
File details
Details for the file optimitz-0.0.1-py3-none-any.whl.
File metadata
- Download URL: optimitz-0.0.1-py3-none-any.whl
- Upload date:
- Size: 22.9 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.11.11
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
739427ae983a9df203fa8e5ca1abcf628c815fc56b043a8d2536bc4d792b0004
|
|
| MD5 |
13ab17adfc42b7d7255bd10266028dd2
|
|
| BLAKE2b-256 |
1d2e221f6dd713aad95dcab876e535ea4eeff62a0b5422b3e5e2ef91d1c247be
|
