Optimisation modules built for optimization problem during thesis

Jérôme BUISINE 4fbbbf39d3 documentation updates for algorithms		il y a 3 ans
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LICENSE	3589fb944b Initial commit	il y a 4 ans
README.md	4fbbbf39d3 documentation updates for algorithms	il y a 3 ans
__init__.py	0a1b108095 First version of OR framework	il y a 4 ans
build.sh	df8251b5ac new package name : macop; use of new policy for operators	il y a 3 ans
checkpoints.csv	df8251b5ac new package name : macop; use of new policy for operators	il y a 3 ans
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mainExample.py	df8251b5ac new package name : macop; use of new policy for operators	il y a 3 ans
requirements.txt	4fbbbf39d3 documentation updates for algorithms	il y a 3 ans
setup.py	4fbbbf39d3 documentation updates for algorithms	il y a 3 ans

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