macop 0.1.2

Minimalist And Customizable Optimization Package

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

git submodule add https://github.com/prise-3d/macop.git

License

The MIT License