This repository contains the implementation of a plugin for the Business Decision Support System (BDSS), contributing the Nevergrad gradient free optimization package. It is implemented under the Formulations and Computational Engineering (FORCE) project within Horizon 2020 (NMBP-23-2016/721027).
The NevergradPlugin class contributes BDSS MCO objects, including a BaseOptimizerEngine implementation that acts as a wrapper around the nevergrad package, and a stand alone BaseMCO subclass that can be used for any use case.
Installation requirements include an up-to-date version of force-bdss. Additional modules that can contribute to the force-wfmanager UI are also included, but a local version of force-wfmanager is not required in order to complete the installation.
To install force-bdss and the force-wfmanager, please see the following instructions.
After completing at least the force-bdss installation steps, clone the git repository:
git clone https://github.com/force-h2020/force-bdss-plugin-nevergradthe enter the source directory and run:
python -m ci installThis will allow install the plugin in the force-py36 edm environment, allowing the contributed BDSS objects to be visible by both force-bdss and force-wfmanager applications.
To build the Sphinx documentation in the doc/build directory run:
python -m ci docs