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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 * 

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Benchmarking suite for DFO algorithms

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