Opticomp

Highlights:
Visualization: OptiComp now provides ways to visualize the wrapper and benchmark results.
System monitor: OptiComp now tracks CPU and RAM usage of optimizers.

Key Features:
- **Result plotting:** An easy way to generate a visual graph from the results.
- **score history:** the WrapperResults class now contains a list with the score for every step taken.
- **CPU and RAM history:** the WrapperResults class now contains a list with the CPU and RAM usage for every step taken.

See our repository for more [information](https://github.com/OptiComp/OptiComp).

Welcome to the initial release of the OptiComp library (Version 0.1.0)!

Highlights:
Introduction: OptiComp is now publicly available, providing tools for optimizer benchmarking in Python.

Key Features:
- Stable wrapperInterface: Simplifies the creation and usage of optimization wrappers.
- BenchmarkSuite: An easy way to benchmark different optimizers.
- Common objectives: 4 common objectives to choose from.
- Common wrappers: 3 common wrappers to choose from.

Included Wrappers:
- Optuna (Random and TPE samplers)
- Bayesian Optimization

See our [repository](https://github.com/OptiComp/OptiComp) for more information.