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Moead-framework : a modular MOEA/D python framework

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 06 Oct 2022Publisher:Zenodo
Authors: Pruvost, Geoffrey; Derbel, Bilel; Liefooghe, Arnaud;

doi: 10.5281/zenodo.7152178 , 10.5281/zenodo.7152177

Moead-framework : a modular MOEA/D python framework

Abstract

This python package moead-framework is a modular framework for multi-objective evolutionary algorithms by decomposition. The goal is to provide a modular framework for scientists and researchers interested in experimenting with MOEA/D and its numerous variants. The documentation is available here: https://moead-framework.github.io/framework/ and can be edited in the folder docs of this repository.

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Keywords

moead, optimization, decomposition, multi-objective

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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