Skip to main content

Python package that benchmark DFO algorithms mainly OMADS.

Project description

NOBM

Benchmarking suite for non-linear optimization algorithms


Version 1.0.1

Testing suite aims to benchmark derivative-free optimization (DFO) algorithms mainly 'OMADS.py' and multidisciplinary design optimization (MDO) algorithms


License & copyright

© Ahmed H. Bayoumy


Installation

$ pip install NOBM

How to use

After installing the libraries listed in the requirements.txt, NOBM can be imported in the optimization solver code. For benchmarking OMADS, the path of the JSON template, which contains the problem setup, should be entered as an input argument to the OMADS.py call.

python BMDFO.py uncon .\tests
from NOBM.toy import * 

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

NOBM-2404.2-py3-none-any.whl (31.3 kB view details)

Uploaded Python 3

File details

Details for the file NOBM-2404.2-py3-none-any.whl.

File metadata

  • Download URL: NOBM-2404.2-py3-none-any.whl
  • Upload date:
  • Size: 31.3 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.10.8

File hashes

Hashes for NOBM-2404.2-py3-none-any.whl
Algorithm Hash digest
SHA256 4e0a21e0ddca6f14bf8bc1cdea4f040e865f725586297dc3d9168de17334d5ac
MD5 01096896daf3c7eb256016bdf143a389
BLAKE2b-256 261c573ba407056bf60ece078bb59d5cf31050f2d874a176fd174091fe95ceb6

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page