{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/the-moeadr-package-a-component-based","title":"The MOEADr Package - A Component-Based Framework for Multiobjective Evolutionary Algorithms Based on Decomposition","arxiv_id":"1807.06731","date":"2018-07-18","proceeding":null,"authors":["Felipe Campelo","Lucas S. Batista","Claus Aranha"],"abstract":"Multiobjective Evolutionary Algorithms based on Decomposition (MOEA/D)\nrepresent a widely used class of population-based metaheuristics for the\nsolution of multicriteria optimization problems. We introduce the MOEADr\npackage, which offers many of these variants as instantiations of a\ncomponent-oriented framework. This approach contributes for easier\nreproducibility of existing MOEA/D variants from the literature, as well as for\nfaster development and testing of new composite algorithms. The package offers\nan standardized, modular implementation of MOEA/D based on this framework,\nwhich was designed aiming at providing researchers and practitioners with a\nstandard way to discuss and express MOEA/D variants. In this paper we introduce\nthe design principles behind the MOEADr package, as well as its current\ncomponents. Three case studies are provided to illustrate the main aspects of\nthe package.","url_abs":"http://arxiv.org/abs/1807.06731v1","url_pdf":"http://arxiv.org/pdf/1807.06731v1.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"the-moeadr-package-a-component-based","repo_url":"https://github.com/fcampelo/MOEADr","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":1,"framework":"none","reach":null},{"paper_slug":"the-moeadr-package-a-component-based","repo_url":"https://github.com/yclavinas/MOEADr","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":null}],"tasks":[{"task_slug":"evolutionary-algorithms","task_name":"Evolutionary Algorithms"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}