A collection of optimization function benchmarks

Download the github repository, unpack, and navigate into the repository's root folder cd foobench. From within your desired python environment, you may install the repository [optionally in developer mode] via

pip install [-e] .

The foobench package is structured as follows:

• foobench.objective contains a wrapper to treat arbitrary functions as objective functions either for minimization or maximization problems. Objectives can be dumped to and loaded from JSON representations. Thus, they can be easily utilized for large scale benchmarking for optimization algorithms.
• foobench.foo contains several prominent objective functions
• foobench.plot contains the plotting functions (WIP)
• foobench.utils contains utility functions (WIP)