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This python package *moead-framework* is a modular framework for multi-objective evolutionary algorithms by decomposition.
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The goal is to provide a modular framework for scientists and researchers interested in
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experimenting with MOEA/D and its numerous variants.
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The documentation is available here: [https://moead-framework.github.io/documentation/](https://moead-framework.github.io/documentation/html/index.html) and can be edited on this repository: [https://github.com/moead-framework/documentation](https://github.com/moead-framework/documentation).
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The documentation is available here: [https://moead-framework.github.io/framework/](https://moead-framework.github.io/framework/html/index.html) and can be edited in the folder docs of this repository.
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# Installation instructions
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Create a virtual environment with [conda](https://docs.conda.io/en/latest/miniconda.html) or [virtualenv](https://packaging.python.org/guides/installing-using-pip-and-virtual-environments/#creating-a-virtual-environment)
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The package is available in pypi, you can install it with:
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The package is available in pypi with a linux environment for python 3.6, 3.7, 3.8 and 3.9, you can install it with:
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pip install moead-framework
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# Example
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from moead_framework.aggregation.tchebycheff import Tchebycheff
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from moead_framework.algorithm.combinatorial.moead import Moead
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from moead_framework.problem.combinatorial.rmnk import Rmnk
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from moead_framework.aggregation import Tchebycheff
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from moead_framework.algorithm.combinatorial import Moead
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from moead_framework.problem.combinatorial import Rmnk
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from moead_framework.tool.result import save_population
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###############################
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# Init the problem #
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# Initialize the problem #
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###############################
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# The file is available here : https://github.com/moead-framework/data/blob/master/problem/RMNK/Instances/rmnk_0_2_100_1_0.dat
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# Others instances are available here : https://github.com/moead-framework/data/tree/master/problem/RMNK/Instances
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