Alignment-based genetic programming for real life applications

Detalhes bibliográficos
Autor(a) principal: Vanneschi, Leonardo
Data de Publicação: 2019
Outros Autores: Castelli, Mauro, Scott, Kristen, Trujillo, Leonardo
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: https://doi.org/10.1016/j.swevo.2018.09.006
Resumo: Vanneschi, L., Castelli, M., Scott, K., & Trujillo, L. (2019). Alignment-based genetic programming for real life applications. Swarm and Evolutionary Computation, 44(February), 840-851. DOI: 10.1016/j.swevo.2018.09.006
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spelling Alignment-based genetic programming for real life applicationsAlignmentError spaceGenetic programmingGeometric semantic operatorsReal-life applicationsComputer Science(all)Mathematics(all)Vanneschi, L., Castelli, M., Scott, K., & Trujillo, L. (2019). Alignment-based genetic programming for real life applications. Swarm and Evolutionary Computation, 44(February), 840-851. DOI: 10.1016/j.swevo.2018.09.006A recent discovery has attracted the attention of many researchers in the field of genetic programming: given individuals with particular characteristics of alignment in the error space, called optimally aligned, it is possible to reconstruct a globally optimal solution. Furthermore, recent preliminary experiments have shown that an indirect search consisting of looking for optimally aligned individuals can have benefits in terms of generalization ability compared to a direct search for optimal solutions. For this reason, defining genetic programming systems that look for optimally aligned individuals is becoming an ambitious and important objective. Nevertheless, the systems that have been introduced so far present important limitations that make them unusable in practice, particularly for complex real-life applications. In this paper, we overcome those limitations, and we present the first usable alignment-based genetic programming system, called nested alignment genetic programming (NAGP). The presented experimental results show that NAGP is able to outperform two of the most recognized state-of-the-art genetic programming systems on four complex real-life applications. The predictive models generated by NAGP are not only more effective than the ones produced by the other studied methods but also significantly smaller and thus more manageable and interpretable.NOVA Information Management School (NOVA IMS)Information Management Research Center (MagIC) - NOVA Information Management SchoolRUNVanneschi, LeonardoCastelli, MauroScott, KristenTrujillo, Leonardo2024-01-27T01:32:02Z2019-022019-02-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article12application/pdfhttps://doi.org/10.1016/j.swevo.2018.09.006eng2210-6502PURE: 6081854http://www.scopus.com/inward/record.url?scp=85054516429&partnerID=8YFLogxKhttps://doi.org/10.1016/j.swevo.2018.09.006info: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:RCAAP2024-03-11T04:25:14Zoai:run.unl.pt:10362/49618Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:32:14.825395Repositório 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 Alignment-based genetic programming for real life applications
title Alignment-based genetic programming for real life applications
spellingShingle Alignment-based genetic programming for real life applications
Vanneschi, Leonardo
Alignment
Error space
Genetic programming
Geometric semantic operators
Real-life applications
Computer Science(all)
Mathematics(all)
title_short Alignment-based genetic programming for real life applications
title_full Alignment-based genetic programming for real life applications
title_fullStr Alignment-based genetic programming for real life applications
title_full_unstemmed Alignment-based genetic programming for real life applications
title_sort Alignment-based genetic programming for real life applications
author Vanneschi, Leonardo
author_facet Vanneschi, Leonardo
Castelli, Mauro
Scott, Kristen
Trujillo, Leonardo
author_role author
author2 Castelli, Mauro
Scott, Kristen
Trujillo, Leonardo
author2_role 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 Vanneschi, Leonardo
Castelli, Mauro
Scott, Kristen
Trujillo, Leonardo
dc.subject.por.fl_str_mv Alignment
Error space
Genetic programming
Geometric semantic operators
Real-life applications
Computer Science(all)
Mathematics(all)
topic Alignment
Error space
Genetic programming
Geometric semantic operators
Real-life applications
Computer Science(all)
Mathematics(all)
description Vanneschi, L., Castelli, M., Scott, K., & Trujillo, L. (2019). Alignment-based genetic programming for real life applications. Swarm and Evolutionary Computation, 44(February), 840-851. DOI: 10.1016/j.swevo.2018.09.006
publishDate 2019
dc.date.none.fl_str_mv 2019-02
2019-02-01T00:00:00Z
2024-01-27T01:32:02Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://doi.org/10.1016/j.swevo.2018.09.006
url https://doi.org/10.1016/j.swevo.2018.09.006
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 2210-6502
PURE: 6081854
http://www.scopus.com/inward/record.url?scp=85054516429&partnerID=8YFLogxK
https://doi.org/10.1016/j.swevo.2018.09.006
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 12
application/pdf
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
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instacron:RCAAP
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
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repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
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