The Effect of Multi-Generational Selection in Geometric Semantic Genetic Programming

Detalhes bibliográficos
Autor(a) principal: Castelli, Mauro
Data de Publicação: 2022
Outros Autores: Manzoni, Luca, Mariot, Luca, Menara, Giuliamaria, Pietropolli, Gloria
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10362/138324
Resumo: Castelli, M., Manzoni, L., Mariot, L., Menara, G., & Pietropolli, G. (2022). The Effect of Multi-Generational Selection in Geometric Semantic Genetic Programming. Applied Sciences (Switzerland), 12(10), 1-13. https://doi.org/10.3390/app12104836 --------- Funding: This work was supported by national funds through the FCT (Fundação para a Ciência e a Tecnologia) by the projects GADgET (DSAIPA/DS/0022/2018).
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spelling The Effect of Multi-Generational Selection in Geometric Semantic Genetic Programmingevolutionary computationgenetic programminggeometric operatorsgeometric semantic genetic programmingMaterials Science(all)InstrumentationProcess Chemistry and TechnologyComputer Science ApplicationsFluid Flow and Transfer ProcessesCastelli, M., Manzoni, L., Mariot, L., Menara, G., & Pietropolli, G. (2022). The Effect of Multi-Generational Selection in Geometric Semantic Genetic Programming. Applied Sciences (Switzerland), 12(10), 1-13. https://doi.org/10.3390/app12104836 --------- Funding: This work was supported by national funds through the FCT (Fundação para a Ciência e a Tecnologia) by the projects GADgET (DSAIPA/DS/0022/2018).Among the evolutionary methods, one that is quite prominent is genetic programming. In recent years, a variant called geometric semantic genetic programming (GSGP) was successfully applied to many real-world problems. Due to a peculiarity in its implementation, GSGP needs to store all its evolutionary history, i.e., all populations from the first one. We exploit this stored information to define a multi-generational selection scheme that is able to use individuals from older populations. We show that a limited ability to use “old” generations is actually useful for the search process, thus showing a zero-cost way of improving the performances of GSGP.Information Management Research Center (MagIC) - NOVA Information Management SchoolNOVA Information Management School (NOVA IMS)RUNCastelli, MauroManzoni, LucaMariot, LucaMenara, GiuliamariaPietropolli, Gloria2022-05-20T22:13:07Z2022-05-102022-05-10T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article13application/pdfapplication/pdfhttp://hdl.handle.net/10362/138324eng2076-3417PURE: 44173352https://doi.org/10.48550/arXiv.2205.02598info: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:RCAAP2024-03-11T05:15:37Zoai:run.unl.pt:10362/138324Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:49:03.779009Repositório 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 The Effect of Multi-Generational Selection in Geometric Semantic Genetic Programming
title The Effect of Multi-Generational Selection in Geometric Semantic Genetic Programming
spellingShingle The Effect of Multi-Generational Selection in Geometric Semantic Genetic Programming
Castelli, Mauro
evolutionary computation
genetic programming
geometric operators
geometric semantic genetic programming
Materials Science(all)
Instrumentation
Process Chemistry and Technology
Computer Science Applications
Fluid Flow and Transfer Processes
title_short The Effect of Multi-Generational Selection in Geometric Semantic Genetic Programming
title_full The Effect of Multi-Generational Selection in Geometric Semantic Genetic Programming
title_fullStr The Effect of Multi-Generational Selection in Geometric Semantic Genetic Programming
title_full_unstemmed The Effect of Multi-Generational Selection in Geometric Semantic Genetic Programming
title_sort The Effect of Multi-Generational Selection in Geometric Semantic Genetic Programming
author Castelli, Mauro
author_facet Castelli, Mauro
Manzoni, Luca
Mariot, Luca
Menara, Giuliamaria
Pietropolli, Gloria
author_role author
author2 Manzoni, Luca
Mariot, Luca
Menara, Giuliamaria
Pietropolli, Gloria
author2_role author
author
author
author
dc.contributor.none.fl_str_mv Information Management Research Center (MagIC) - NOVA Information Management School
NOVA Information Management School (NOVA IMS)
RUN
dc.contributor.author.fl_str_mv Castelli, Mauro
Manzoni, Luca
Mariot, Luca
Menara, Giuliamaria
Pietropolli, Gloria
dc.subject.por.fl_str_mv evolutionary computation
genetic programming
geometric operators
geometric semantic genetic programming
Materials Science(all)
Instrumentation
Process Chemistry and Technology
Computer Science Applications
Fluid Flow and Transfer Processes
topic evolutionary computation
genetic programming
geometric operators
geometric semantic genetic programming
Materials Science(all)
Instrumentation
Process Chemistry and Technology
Computer Science Applications
Fluid Flow and Transfer Processes
description Castelli, M., Manzoni, L., Mariot, L., Menara, G., & Pietropolli, G. (2022). The Effect of Multi-Generational Selection in Geometric Semantic Genetic Programming. Applied Sciences (Switzerland), 12(10), 1-13. https://doi.org/10.3390/app12104836 --------- Funding: This work was supported by national funds through the FCT (Fundação para a Ciência e a Tecnologia) by the projects GADgET (DSAIPA/DS/0022/2018).
publishDate 2022
dc.date.none.fl_str_mv 2022-05-20T22:13:07Z
2022-05-10
2022-05-10T00:00:00Z
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 http://hdl.handle.net/10362/138324
url http://hdl.handle.net/10362/138324
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 2076-3417
PURE: 44173352
https://doi.org/10.48550/arXiv.2205.02598
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 13
application/pdf
application/pdf
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron:RCAAP
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron_str RCAAP
institution RCAAP
reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
collection 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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