FP-AK-QIEA-R seed to help the convergence of PECO

Descripción del Articulo

The author would like to thank Cesar M.V. Benítes of Bioinformatic Lab in UTFPR(Universidade Tecnologica Federal do Parana), Brasil.The author would like to thank CONCYTEC (Consejo Nacional de Ciencia, Tecnolog´ıa e Innovacion Tecnológica), by the financial supporting during Master Program.
Detalles Bibliográficos
Autor: Chire Saire J.E.
Formato: objeto de conferencia
Fecha de Publicación:2018
Institución:Consejo Nacional de Ciencia Tecnología e Innovación
Repositorio:CONCYTEC-Institucional
Lenguaje:inglés
OAI Identifier:oai:repositorio.concytec.gob.pe:20.500.12390/562
Enlace del recurso:https://hdl.handle.net/20.500.12390/562
https://doi.org/10.1109/INTERCON.2018.8526410
Nivel de acceso:acceso abierto
Materia:Quantum inspired evolutionary algorithm
Ecosystems
Protein folding
Proteins
Benchmark functions
Multi-objective problem
Particle filter
PDF estimation
PECO
Protein folding problem
Evolutionary algorithms
https://purl.org/pe-repo/ocde/ford#2.02.00
id CONC_d952d7a53be8cfa243e6bbeb038de97c
oai_identifier_str oai:repositorio.concytec.gob.pe:20.500.12390/562
network_acronym_str CONC
network_name_str CONCYTEC-Institucional
repository_id_str 4689
dc.title.none.fl_str_mv FP-AK-QIEA-R seed to help the convergence of PECO
title FP-AK-QIEA-R seed to help the convergence of PECO
spellingShingle FP-AK-QIEA-R seed to help the convergence of PECO
Chire Saire J.E.
Quantum inspired evolutionary algorithm
Ecosystems
Protein folding
Proteins
Benchmark functions
Multi-objective problem
Particle filter
PDF estimation
PECO
Protein folding problem
Evolutionary algorithms
https://purl.org/pe-repo/ocde/ford#2.02.00
title_short FP-AK-QIEA-R seed to help the convergence of PECO
title_full FP-AK-QIEA-R seed to help the convergence of PECO
title_fullStr FP-AK-QIEA-R seed to help the convergence of PECO
title_full_unstemmed FP-AK-QIEA-R seed to help the convergence of PECO
title_sort FP-AK-QIEA-R seed to help the convergence of PECO
author Chire Saire J.E.
author_facet Chire Saire J.E.
author_role author
dc.contributor.author.fl_str_mv Chire Saire J.E.
dc.subject.none.fl_str_mv Quantum inspired evolutionary algorithm
topic Quantum inspired evolutionary algorithm
Ecosystems
Protein folding
Proteins
Benchmark functions
Multi-objective problem
Particle filter
PDF estimation
PECO
Protein folding problem
Evolutionary algorithms
https://purl.org/pe-repo/ocde/ford#2.02.00
dc.subject.es_PE.fl_str_mv Ecosystems
Protein folding
Proteins
Benchmark functions
Multi-objective problem
Particle filter
PDF estimation
PECO
Protein folding problem
Evolutionary algorithms
dc.subject.ocde.none.fl_str_mv https://purl.org/pe-repo/ocde/ford#2.02.00
description The author would like to thank Cesar M.V. Benítes of Bioinformatic Lab in UTFPR(Universidade Tecnologica Federal do Parana), Brasil.The author would like to thank CONCYTEC (Consejo Nacional de Ciencia, Tecnolog´ıa e Innovacion Tecnológica), by the financial supporting during Master Program.
publishDate 2018
dc.date.accessioned.none.fl_str_mv 2024-05-30T23:13:38Z
dc.date.available.none.fl_str_mv 2024-05-30T23:13:38Z
dc.date.issued.fl_str_mv 2018
dc.type.none.fl_str_mv info:eu-repo/semantics/conferenceObject
format conferenceObject
dc.identifier.isbn.none.fl_str_mv 9781538654903
dc.identifier.uri.none.fl_str_mv https://hdl.handle.net/20.500.12390/562
dc.identifier.doi.none.fl_str_mv https://doi.org/10.1109/INTERCON.2018.8526410
dc.identifier.scopus.none.fl_str_mv 2-s2.0-85058024752
identifier_str_mv 9781538654903
2-s2.0-85058024752
url https://hdl.handle.net/20.500.12390/562
https://doi.org/10.1109/INTERCON.2018.8526410
dc.language.iso.none.fl_str_mv eng
language eng
dc.relation.ispartof.none.fl_str_mv Proceedings of the 2018 IEEE 25th International Conference on Electronics, Electrical Engineering and Computing, INTERCON 2018
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv Institute of Electrical and Electronics Engineers Inc.
publisher.none.fl_str_mv Institute of Electrical and Electronics Engineers Inc.
dc.source.none.fl_str_mv reponame:CONCYTEC-Institucional
instname:Consejo Nacional de Ciencia Tecnología e Innovación
instacron:CONCYTEC
instname_str Consejo Nacional de Ciencia Tecnología e Innovación
instacron_str CONCYTEC
institution CONCYTEC
reponame_str CONCYTEC-Institucional
collection CONCYTEC-Institucional
repository.name.fl_str_mv Repositorio Institucional CONCYTEC
repository.mail.fl_str_mv repositorio@concytec.gob.pe
_version_ 1839175742323163136
spelling Publicationrp01014600Chire Saire J.E.2024-05-30T23:13:38Z2024-05-30T23:13:38Z20189781538654903https://hdl.handle.net/20.500.12390/562https://doi.org/10.1109/INTERCON.2018.85264102-s2.0-85058024752The author would like to thank Cesar M.V. Benítes of Bioinformatic Lab in UTFPR(Universidade Tecnologica Federal do Parana), Brasil.The author would like to thank CONCYTEC (Consejo Nacional de Ciencia, Tecnolog´ıa e Innovacion Tecnológica), by the financial supporting during Master Program.FP-AK-QIEA-ℝ has been used in Benchmark Functions, Protein Folding Problem and multi-objective problems. PECO was a proposed algorithm with good performance in Protein Folding Problem. The objective of this paper is perform experiments to improve the performance of PECO using FP-AK-QIEA-ℝ to initialize PECO. After plotting the best of ever, a meaningful change on the convergence is observed showing the modification of the convergence and after plotting the number of habitats is noticed a reduction of the number of habitats. In conclusion, adding FP-AK-QIEA-R solution improves the performance of PECO.Consejo Nacional de Ciencia, Tecnología e Innovación Tecnológica - ConcytecengInstitute of Electrical and Electronics Engineers Inc.Proceedings of the 2018 IEEE 25th International Conference on Electronics, Electrical Engineering and Computing, INTERCON 2018info:eu-repo/semantics/openAccessQuantum inspired evolutionary algorithmEcosystems-1Protein folding-1Proteins-1Benchmark functions-1Multi-objective problem-1Particle filter-1PDF estimation-1PECO-1Protein folding problem-1Evolutionary algorithms-1https://purl.org/pe-repo/ocde/ford#2.02.00-1FP-AK-QIEA-R seed to help the convergence of PECOinfo:eu-repo/semantics/conferenceObjectreponame:CONCYTEC-Institucionalinstname:Consejo Nacional de Ciencia Tecnología e Innovacióninstacron:CONCYTEC#PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE#20.500.12390/562oai:repositorio.concytec.gob.pe:20.500.12390/5622024-05-30 15:35:45.408http://purl.org/coar/access_right/c_14cbinfo:eu-repo/semantics/closedAccessmetadata only accesshttps://repositorio.concytec.gob.peRepositorio Institucional CONCYTECrepositorio@concytec.gob.pe#PLACEHOLDER_PARENT_METADATA_VALUE#<Publication xmlns="https://www.openaire.eu/cerif-profile/1.1/" id="c6511ebb-c04a-4cda-baec-db272c1d806a"> <Type xmlns="https://www.openaire.eu/cerif-profile/vocab/COAR_Publication_Types">http://purl.org/coar/resource_type/c_1843</Type> <Language>eng</Language> <Title>FP-AK-QIEA-R seed to help the convergence of PECO</Title> <PublishedIn> <Publication> <Title>Proceedings of the 2018 IEEE 25th International Conference on Electronics, Electrical Engineering and Computing, INTERCON 2018</Title> </Publication> </PublishedIn> <PublicationDate>2018</PublicationDate> <DOI>https://doi.org/10.1109/INTERCON.2018.8526410</DOI> <SCP-Number>2-s2.0-85058024752</SCP-Number> <ISBN>9781538654903</ISBN> <Authors> <Author> <DisplayName>Chire Saire J.E.</DisplayName> <Person id="rp01014" /> <Affiliation> <OrgUnit> </OrgUnit> </Affiliation> </Author> </Authors> <Editors> </Editors> <Publishers> <Publisher> <DisplayName>Institute of Electrical and Electronics Engineers Inc.</DisplayName> <OrgUnit /> </Publisher> </Publishers> <Keyword>Quantum inspired evolutionary algorithm</Keyword> <Keyword>Ecosystems</Keyword> <Keyword>Protein folding</Keyword> <Keyword>Proteins</Keyword> <Keyword>Benchmark functions</Keyword> <Keyword>Multi-objective problem</Keyword> <Keyword>Particle filter</Keyword> <Keyword>PDF estimation</Keyword> <Keyword>PECO</Keyword> <Keyword>Protein folding problem</Keyword> <Keyword>Evolutionary algorithms</Keyword> <Abstract>FP-AK-QIEA-ℝ has been used in Benchmark Functions, Protein Folding Problem and multi-objective problems. PECO was a proposed algorithm with good performance in Protein Folding Problem. The objective of this paper is perform experiments to improve the performance of PECO using FP-AK-QIEA-ℝ to initialize PECO. After plotting the best of ever, a meaningful change on the convergence is observed showing the modification of the convergence and after plotting the number of habitats is noticed a reduction of the number of habitats. In conclusion, adding FP-AK-QIEA-R solution improves the performance of PECO.</Abstract> <Access xmlns="http://purl.org/coar/access_right" > </Access> </Publication> -1
score 13.4481325
FP-AK-QIEA-R seed to help the convergence of PECO
Nota importante:
La información contenida en este registro es de entera responsabilidad de la institución que gestiona el repositorio institucional donde esta contenido este documento o set de datos. El CONCYTEC no se hace responsable por los contenidos (publicaciones y/o datos) accesibles a través del Repositorio Nacional Digital de Ciencia, Tecnología e Innovación de Acceso Abierto (ALICIA).

Ejemplares Similares