Minimalist And Customizable Optimizations Package

Description

Optimisation generic framework built for optimization problem during thesis

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.

You can see an example of use in the mainExample.py python file.

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