GSGP-C++ 2.0
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Data de Publicação: | 2019 |
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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.softx.2019.100313 |
Resumo: | Castelli, M., & Manzoni, L. (2019). GSGP-C++ 2.0: A geometric semantic genetic programming framework. SoftwareX, 10, [100313]. https://doi.org/10.1016/j.softx.2019.100313 |
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GSGP-C++ 2.0A geometric semantic genetic programming frameworkGenetic programmingMachine learningSemanticsSoftwareComputer Science ApplicationsCastelli, M., & Manzoni, L. (2019). GSGP-C++ 2.0: A geometric semantic genetic programming framework. SoftwareX, 10, [100313]. https://doi.org/10.1016/j.softx.2019.100313Geometric semantic operators (GSOs) for Genetic Programming have been widely investigated in recent years, producing competitive results with respect to standard syntax based operator as well as other well-known machine learning techniques. The usage of GSOs has been facilitated by a C++ framework that implements these operators in a very efficient manner. This work presents a description of the system and focuses on a recently implemented feature that allows the user to store the information related to the best individual and to evaluate new data in a time that is linear with respect to the number of generations used to find the optimal individual. The paper presents the main features of the system and provides a step by step guide for interested users or developers.NOVA Information Management School (NOVA IMS)Information Management Research Center (MagIC) - NOVA Information Management SchoolRUNCastelli, MauroManzoni, Luca2019-09-17T22:48:16Z2019-07-012019-07-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article4application/pdfhttps://doi.org/10.1016/j.softx.2019.100313engPURE: 14716677http://www.scopus.com/inward/record.url?scp=85071718915&partnerID=8YFLogxKhttps://doi.org/10.1016/j.softx.2019.100313info: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:RCAAP2024-03-11T04:36:22Zoai:run.unl.pt:10362/81595Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:36:07.041866Repositório 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 |
GSGP-C++ 2.0 A geometric semantic genetic programming framework |
title |
GSGP-C++ 2.0 |
spellingShingle |
GSGP-C++ 2.0 Castelli, Mauro Genetic programming Machine learning Semantics Software Computer Science Applications |
title_short |
GSGP-C++ 2.0 |
title_full |
GSGP-C++ 2.0 |
title_fullStr |
GSGP-C++ 2.0 |
title_full_unstemmed |
GSGP-C++ 2.0 |
title_sort |
GSGP-C++ 2.0 |
author |
Castelli, Mauro |
author_facet |
Castelli, Mauro Manzoni, Luca |
author_role |
author |
author2 |
Manzoni, Luca |
author2_role |
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 |
Castelli, Mauro Manzoni, Luca |
dc.subject.por.fl_str_mv |
Genetic programming Machine learning Semantics Software Computer Science Applications |
topic |
Genetic programming Machine learning Semantics Software Computer Science Applications |
description |
Castelli, M., & Manzoni, L. (2019). GSGP-C++ 2.0: A geometric semantic genetic programming framework. SoftwareX, 10, [100313]. https://doi.org/10.1016/j.softx.2019.100313 |
publishDate |
2019 |
dc.date.none.fl_str_mv |
2019-09-17T22:48:16Z 2019-07-01 2019-07-01T00:00:00Z |
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.softx.2019.100313 |
url |
https://doi.org/10.1016/j.softx.2019.100313 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
PURE: 14716677 http://www.scopus.com/inward/record.url?scp=85071718915&partnerID=8YFLogxK https://doi.org/10.1016/j.softx.2019.100313 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
4 application/pdf |
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Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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RCAAP |
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RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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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