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arXiv · 1807.06731

The MOEADr Package - A Component-Based Framework for Multiobjective Evolutionary Algorithms Based on Decomposition

Felipe Campelo·Lucas S. Batista·Claus Aranha
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Abstract

Multiobjective Evolutionary Algorithms based on Decomposition (MOEA/D) represent a widely used class of population-based metaheuristics for the solution of multicriteria optimization problems. We introduce the MOEADr package, which offers many of these variants as instantiations of a component-oriented framework. This approach contributes for easier reproducibility of existing MOEA/D variants from the literature, as well as for faster development and testing of new composite algorithms. The package offers an standardized, modular implementation of MOEA/D based on this framework, which was designed aiming at providing researchers and practitioners with a standard way to discuss and express MOEA/D variants. In this paper we introduce the design principles behind the MOEADr package, as well as its current components. Three case studies are provided to illustrate the main aspects of the package.

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Felipe Campelo, Lucas S. Batista, Claus Aranha. 2018-07-18. The MOEADr Package - A Component-Based Framework for Multiobjective Evolutionary Algorithms Based on Decomposition. https://doi.org/10.18637/jss.v092.i06

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