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

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-orien...

Full description

Saved in:
Bibliographic Details
Published in:Journal of statistical software Vol. 92; no. 6; pp. 1 - 39
Main Authors: Campelo, Felipe, Batista, Lucas S., Aranha, Claus
Format: Journal Article
Language:English
Published: Foundation for Open Access Statistics 01.02.2020
Subjects:
component-oriented design
moea/d
multiobjective evolutionary algorithms
ISSN:1548-7660, 1548-7660
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
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.
AbstractList 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.
Author Batista, Lucas S.
Aranha, Claus
Campelo, Felipe
Author_xml – sequence: 1
  givenname: Felipe
  surname: Campelo
  fullname: Campelo, Felipe
– sequence: 2
  givenname: Lucas S.
  surname: Batista
  fullname: Batista, Lucas S.
– sequence: 3
  givenname: Claus
  surname: Aranha
  fullname: Aranha, Claus
BookMark eNptkUtPwzAQhC0EEhQ4cvcfSPErccKtlPKQiuBQztbG2bRu0xjstIh_T0pBQojTrlYzn2Y1A3LY-hYJueBsyPNM6stljMMtK8TQseyAnPBU5YnOMnb4az8mgxiXjAmmivSEvM0WSB-fJqObQJ_BrmCOV3REx3792sPbLrmGiBW9DbDGdx9WtPaBPm6azvlyibZzW6STrW82_aGF8EFHzdwH1y3Wke6tvqU3aHe86HaiM3JUQxPx_HuekpfbyWx8n0yf7h7Go2liZZ51ieZaS40WeVnXBYcclci4lWlWKV1JVoNUArTiYHNbiVKIkuc8lxoA0wpreUoe9tzKw9K8Brfu4xkPznwdfJgbCJ2zDRqBoKwq6lKiVBZEgYgylVZkoPJUyp4l9ywbfIwBa2NdB7tvugCuMZyZrwZM34DZNWD6BnpX8sf1k-J__SflXo1x
CitedBy_id crossref_primary_10_1162_artl_a_00402
crossref_primary_10_1145_3612933
crossref_primary_10_1016_j_asoc_2021_108277
crossref_primary_10_2166_ws_2024_046
ContentType Journal Article
DBID AAYXX
CITATION
DOA
DOI 10.18637/jss.v092.i06
DatabaseName CrossRef
DOAJ: Directory of Open Access Journal (DOAJ)
DatabaseTitle CrossRef
DatabaseTitleList
Database_xml – sequence: 1
  dbid: DOA
  name: DOAJ Directory of Open Access Journals
  url: https://www.doaj.org/
  sourceTypes: Open Website
DeliveryMethod fulltext_linktorsrc
Discipline Mathematics
EISSN 1548-7660
EndPage 39
ExternalDocumentID oai_doaj_org_article_2ea4c49fb3e34ca29eee353c26a48533
10_18637_jss_v092_i06
GroupedDBID 29L
2WC
5GY
5VS
AAFWJ
AAKPC
AAYXX
ACGFO
ACIPV
ADBBV
AENEX
AFPKN
ALMA_UNASSIGNED_HOLDINGS
BCNDV
C1A
CITATION
E3Z
EBS
EJD
F5P
GROUPED_DOAJ
GX1
IPNFZ
KQ8
M~E
OK1
OVT
P2P
RIG
RNS
TR2
XSB
ID FETCH-LOGICAL-c386t-717737ece1bff91a8e4261c356d47d30fa342a741ac8cd2b22b181837aae5def3
IEDL.DBID DOA
ISICitedReferencesCount 9
ISICitedReferencesURI http://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=Summon&SrcAuth=ProQuest&DestLinkType=CitingArticles&DestApp=WOS_CPL&KeyUT=000522412800001&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D
ISSN 1548-7660
IngestDate Fri Oct 03 12:50:59 EDT 2025
Sat Nov 29 04:38:01 EST 2025
Tue Nov 18 22:22:54 EST 2025
IsDoiOpenAccess true
IsOpenAccess true
IsPeerReviewed true
IsScholarly true
Issue 6
Language English
LinkModel DirectLink
MergedId FETCHMERGED-LOGICAL-c386t-717737ece1bff91a8e4261c356d47d30fa342a741ac8cd2b22b181837aae5def3
OpenAccessLink https://doaj.org/article/2ea4c49fb3e34ca29eee353c26a48533
PageCount 39
ParticipantIDs doaj_primary_oai_doaj_org_article_2ea4c49fb3e34ca29eee353c26a48533
crossref_citationtrail_10_18637_jss_v092_i06
crossref_primary_10_18637_jss_v092_i06
PublicationCentury 2000
PublicationDate 2020-02-01
PublicationDateYYYYMMDD 2020-02-01
PublicationDate_xml – month: 02
  year: 2020
  text: 2020-02-01
  day: 01
PublicationDecade 2020
PublicationTitle Journal of statistical software
PublicationYear 2020
Publisher Foundation for Open Access Statistics
Publisher_xml – name: Foundation for Open Access Statistics
SSID ssj0020495
Score 2.3896487
Snippet Multiobjective evolutionary algorithms based on decomposition (MOEA/D) represent a widely used class of population-based metaheuristics for the solution of...
SourceID doaj
crossref
SourceType Open Website
Enrichment Source
Index Database
StartPage 1
SubjectTerms component-oriented design
moea/d
multiobjective evolutionary algorithms
Title The MOEADr Package: A Component-Based Framework for Multiobjective Evolutionary Algorithms Based on Decomposition
URI https://doaj.org/article/2ea4c49fb3e34ca29eee353c26a48533
Volume 92
WOSCitedRecordID wos000522412800001&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D
hasFullText 1
inHoldings 1
isFullTextHit
isPrint
journalDatabaseRights – providerCode: PRVAON
  databaseName: DOAJ Directory of Open Access Journals
  customDbUrl:
  eissn: 1548-7660
  dateEnd: 99991231
  omitProxy: false
  ssIdentifier: ssj0020495
  issn: 1548-7660
  databaseCode: DOA
  dateStart: 19960101
  isFulltext: true
  titleUrlDefault: https://www.doaj.org/
  providerName: Directory of Open Access Journals
– providerCode: PRVHPJ
  databaseName: ROAD: Directory of Open Access Scholarly Resources (ISSN International Center)
  customDbUrl:
  eissn: 1548-7660
  dateEnd: 99991231
  omitProxy: false
  ssIdentifier: ssj0020495
  issn: 1548-7660
  databaseCode: M~E
  dateStart: 19960101
  isFulltext: true
  titleUrlDefault: https://road.issn.org
  providerName: ISSN International Centre
link http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwrV27TsMwFLUQYoAB8RTlJQ-IifRhOy-2lKZioKUDoG6RX4GWkkASKrHw7VwnadUFsbBkiJzIur72OUe6PhehC-5IABLJjU-lAIGiqSVkHFtAtbVtTsxOeW_t6c4dDr3x2B-ttPoyNWGVPXAVuBbRnEnmx4JqyiQnvtaa2lQShzOAmtLns-36CzFVSy3gvXbtqOk51G1N87w5b_ukOTGtjVYQaMWov0SU_g7arqkgDqop7KI1neyhrcHSRzXfRx-winhwHwa9DI-4fIXNf40DbDZxmgBcWF0AIYX7iworDBQUl3dqUzGtjjIczuvs4tkXDmbPaTYpXt5yXH2aJrinTV15Xbx1gB774cPNrVU3SbAk9ZzCAjnmUldL3RFx7He4p40oktR2FHMVbcecMsKBN3DpSUUEIQJAHWQp59pWOqaHaD2BKR8hTBXQAUUVcJSYMSqF4zmO9IXgHeUK7jbQ1SJwkawdxE0ji1lklISJcwRxjkycI4hzA10uh79X1hm_DeyaVVgOMo7X5QvIg6jOg-ivPDj-j5-coE1i9HRZlX2K1ovsU5-hDTkvJnl2XqYYPAff4Q_FtdsK
linkProvider Directory of Open Access Journals
openUrl ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=The+MOEADr+Package%3A+A+Component-Based+Framework+for+Multiobjective+Evolutionary+Algorithms+Based+on+Decomposition&rft.jtitle=Journal+of+statistical+software&rft.au=Felipe+Campelo&rft.au=Lucas+S.+Batista&rft.au=Claus+Aranha&rft.date=2020-02-01&rft.pub=Foundation+for+Open+Access+Statistics&rft.eissn=1548-7660&rft.volume=92&rft.issue=1&rft.spage=1&rft.epage=39&rft_id=info:doi/10.18637%2Fjss.v092.i06&rft.externalDBID=DOA&rft.externalDocID=oai_doaj_org_article_2ea4c49fb3e34ca29eee353c26a48533
thumbnail_l http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=1548-7660&client=summon
thumbnail_m http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=1548-7660&client=summon
thumbnail_s http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=1548-7660&client=summon