# Minimalist And Customizable Optimizations Package
 
## Description
Optimisation generic framework built for optimization problem during thesis
## Modules
- **algorithms:** generic and implemented OR algorithms
- **evaluator:** example of an evaluation function to use (you have to implement your own evaluation function)
- **solutions:** solutions used to represent problem data
- **operators:** mutators, crossovers update of solution. This folder also had `policies` folder to manage the way of update and use solution.
- **checkpoints:** checkpoints folder where `Checkpoint` class is available for making checkpoint every number of evaluations.
**Note:** you can pass a custom `validator` function to the algorithm in order to check is solution is always correct for your needs after an update.
## How to use ?
You can see an example of use in the `mainExample.py` python file.
## Add as dependency
```bash
git submodule add https://github.com/prise-3d/macop.git
```
## License
[The MIT License](LICENSE)