"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 *
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
NOBM-1.0.1.tar.gz
(19.5 kB
view hashes)
Built Distribution
NOBM-1.0.1-py3-none-any.whl
(19.9 kB
view hashes)
