Optimisation modules built for optimization problem during thesis

Jérôme BUISINE 6313a6a393 enable n objectives for MOEAD		4 年之前
.github	df8251b5ac new package name : macop; use of new policy for operators	4 年之前
docs	9bd549721d add pareto checkpoint; update moead use	4 年之前
macop	6313a6a393 enable n objectives for MOEAD	4 年之前
.gitignore	9bd549721d add pareto checkpoint; update moead use	4 年之前
CONTRIBUTING.md	df8251b5ac new package name : macop; use of new policy for operators	4 年之前
LICENSE	3589fb944b Initial commit	5 年之前
README.md	7aaf6b1d90 now use of callbacks list into algorithm	4 年之前
__init__.py	0a1b108095 First version of OR framework	5 年之前
build.sh	df8251b5ac new package name : macop; use of new policy for operators	4 年之前
knapsackExample.py	f358eca024 start of MOEAD implementation	4 年之前
knapsackMultiExample.py	6313a6a393 enable n objectives for MOEAD	4 年之前
logo_macop.png	df8251b5ac new package name : macop; use of new policy for operators	4 年之前
requirements.txt	4fbbbf39d3 documentation updates for algorithms	4 年之前
setup.py	7aaf6b1d90 now use of callbacks list into algorithm	4 年之前

Minimalist And Customizable Optimization Package

Description

macop is an optimization Python package which not implement the whole available algorithms in the literature but let you the possibility to quickly develop and test your own algorithm and strategies. The main objective of this package is to be the most flexible as possible and hence, to offer a maximum of implementation possibilities.

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 has policies folder to manage the way of update and use solution.
callbacks: callbacks folder where Callback class is available for making callback instructions 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 knapsackExample.py python file.

Fully documentation of package with examples is also available.

Add as dependency

git submodule add https://github.com/jbuisine/macop.git

License

The MIT License

README.md