Year: 2022
Type: article
Abstract: The Multi-Objective Evolutionary Algorithm based on Decomposition (MOEA/D) is a generalpurpose algorithm for approximating the Pareto set of multi-objective optimization problems (Zhang & Li, 2007).It decomposes the original multi-objective problem into a number of single-objective optimization sub-problems and then uses an evolutionary process to optimize these sub-problems simultaneously and cooperatively.MOEA/D is a state-of-the-art algorithm in aggregation-based approaches for multi-objective optimization.The goal of the moead-framework Python package is to provide a modular framework for scientists and researchers interested in experimenting with MOEA/D and its numerous variants.
DOI: 10.21105/joss.02974
Institutions: Centre National de la Recherche Scientifique, Institut national de recherche en sciences et technologies du numérique, Université de Lille, Centre de Recherche en Informatique, Signal et Automatique de Lille, BONUS: Optimisation de grande taille et calcul large échelle, Centrale Lille Institut
Language: English
Subfield: Computational Theory and Mathematics
Field: Computer Science
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W4306406579