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

Dublin Core

Title

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

Subject

MOEA/D, multiobjective evolutionary algorithms, R, component-oriented design

Description

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

Creator

Felipe Campelo

Source

https://www.jstatsoft.org/article/view/v092i06

Publisher

Aston University

Date

February 2020

Contributor

Fajar bagus W

Format

PDf

Language

Indonesia

Type

Text

Files

Citation

Felipe Campelo, “The MOEADr Package: A Component-Based Framework for Multiobjective Evolutionary Algorithms Based on Decomposition,” Repository Horizon University Indonesia, accessed April 4, 2025, https://repository.horizon.ac.id/items/show/8110.