Genetic programming in the twenty-first century

Detalhes bibliográficos
Autor(a) principal: De Lorenzo, Andrea
Data de Publicação: 2020
Outros Autores: Bartoli, Alberto, Castelli, Mauro, Medvet, Eric, Xue, Bing
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10362/95128
Resumo: De Lorenzo, A., Bartoli, A., Castelli, M., Medvet, E., & Xue, B. (2020). Genetic programming in the twenty-first century: a bibliometric and content-based analysis from both sides of the fence. Genetic Programming And Evolvable Machines, 21(1-2), 181–204. [Adavanced online publication on 27 July 2019]. doi: https://doi.org/10.1007/s10710-019-09363-3
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spelling Genetic programming in the twenty-first centurya bibliometric and content-based analysis from both sides of the fenceBibliometricsGenetic programmingLiterature reviewPublication habitsTopic modelingSoftwareTheoretical Computer ScienceHardware and ArchitectureComputer Science ApplicationsDe Lorenzo, A., Bartoli, A., Castelli, M., Medvet, E., & Xue, B. (2020). Genetic programming in the twenty-first century: a bibliometric and content-based analysis from both sides of the fence. Genetic Programming And Evolvable Machines, 21(1-2), 181–204. [Adavanced online publication on 27 July 2019]. doi: https://doi.org/10.1007/s10710-019-09363-3In this work we present an extensive bibliometric and content-based analysis of the scientific literature about genetic programming in the twenty-first century. Our work has two key peculiarities. First, we revealed the topics emerging from the literature based on an unsupervised analysis of the textual content of titles and abstracts. Second, we executed all of our analyses twice, once on the papers published in the venues that are typical of the evolutionary computation research community and once on those published in all the other venues. This view from “both sides of the fence” allows us to gain broader and deeper insights into the actual contributions of our community.NOVA Information Management School (NOVA IMS)Information Management Research Center (MagIC) - NOVA Information Management SchoolRUNDe Lorenzo, AndreaBartoli, AlbertoCastelli, MauroMedvet, EricXue, Bing2023-04-22T00:31:45Z2020-06-012020-06-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article24application/pdfhttp://hdl.handle.net/10362/95128eng1389-2576PURE: 14543612https://doi.org/10.1007/s10710-019-09363-3info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-03-11T04:43:09Zoai:run.unl.pt:10362/95128Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:38:13.871478Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Genetic programming in the twenty-first century
a bibliometric and content-based analysis from both sides of the fence
title Genetic programming in the twenty-first century
spellingShingle Genetic programming in the twenty-first century
De Lorenzo, Andrea
Bibliometrics
Genetic programming
Literature review
Publication habits
Topic modeling
Software
Theoretical Computer Science
Hardware and Architecture
Computer Science Applications
title_short Genetic programming in the twenty-first century
title_full Genetic programming in the twenty-first century
title_fullStr Genetic programming in the twenty-first century
title_full_unstemmed Genetic programming in the twenty-first century
title_sort Genetic programming in the twenty-first century
author De Lorenzo, Andrea
author_facet De Lorenzo, Andrea
Bartoli, Alberto
Castelli, Mauro
Medvet, Eric
Xue, Bing
author_role author
author2 Bartoli, Alberto
Castelli, Mauro
Medvet, Eric
Xue, Bing
author2_role author
author
author
author
dc.contributor.none.fl_str_mv NOVA Information Management School (NOVA IMS)
Information Management Research Center (MagIC) - NOVA Information Management School
RUN
dc.contributor.author.fl_str_mv De Lorenzo, Andrea
Bartoli, Alberto
Castelli, Mauro
Medvet, Eric
Xue, Bing
dc.subject.por.fl_str_mv Bibliometrics
Genetic programming
Literature review
Publication habits
Topic modeling
Software
Theoretical Computer Science
Hardware and Architecture
Computer Science Applications
topic Bibliometrics
Genetic programming
Literature review
Publication habits
Topic modeling
Software
Theoretical Computer Science
Hardware and Architecture
Computer Science Applications
description De Lorenzo, A., Bartoli, A., Castelli, M., Medvet, E., & Xue, B. (2020). Genetic programming in the twenty-first century: a bibliometric and content-based analysis from both sides of the fence. Genetic Programming And Evolvable Machines, 21(1-2), 181–204. [Adavanced online publication on 27 July 2019]. doi: https://doi.org/10.1007/s10710-019-09363-3
publishDate 2020
dc.date.none.fl_str_mv 2020-06-01
2020-06-01T00:00:00Z
2023-04-22T00:31:45Z
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dc.identifier.uri.fl_str_mv http://hdl.handle.net/10362/95128
url http://hdl.handle.net/10362/95128
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 1389-2576
PURE: 14543612
https://doi.org/10.1007/s10710-019-09363-3
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