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Optimisation modules built for optimization problem during thesis

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README.md

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