An ecology-based evolutionary algorithm applied to the 2D-AB off-lattice protein structure prediction problem

Detalhes bibliográficos
Autor(a) principal: Lopes H.S.
Data de Publicação: 2013
Outros Autores: Parpinelli, Rafael Stubs
Tipo de documento: Artigo de conferência
Idioma: eng
Título da fonte: Repositório Institucional da Udesc
Texto Completo: https://repositorio.udesc.br/handle/UDESC/8982
Resumo: This paper applies an ecology-inspired algorithm (ECO) to solve a complex problem from bioinformatics. The ecological-inspired algorithm represents a new perspective to develop cooperative evolutionary algorithms. Different algorithms are applied to compose the computational ecosystem, both homogeneously and heterogeneously. The aim is to search low energy conformations for the Protein Structure Prediction problem, concerning the 2D-AB off-lattice model. From the results, the heterogeneous configuration obtained the best conformations for almost all cases, possibly due to the use of different intensification and diversification strategies provided by different search algorithms. © 2013 IEEE.
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spelling An ecology-based evolutionary algorithm applied to the 2D-AB off-lattice protein structure prediction problemThis paper applies an ecology-inspired algorithm (ECO) to solve a complex problem from bioinformatics. The ecological-inspired algorithm represents a new perspective to develop cooperative evolutionary algorithms. Different algorithms are applied to compose the computational ecosystem, both homogeneously and heterogeneously. The aim is to search low energy conformations for the Protein Structure Prediction problem, concerning the 2D-AB off-lattice model. From the results, the heterogeneous configuration obtained the best conformations for almost all cases, possibly due to the use of different intensification and diversification strategies provided by different search algorithms. © 2013 IEEE.2024-12-06T14:35:35Z2013info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObjectp. 64 - 6910.1109/BRACIS.2013.19https://repositorio.udesc.br/handle/UDESC/8982Proceedings - 2013 Brazilian Conference on Intelligent Systems, BRACIS 2013Lopes H.S.Parpinelli, Rafael Stubsengreponame:Repositório Institucional da Udescinstname:Universidade do Estado de Santa Catarina (UDESC)instacron:UDESCinfo:eu-repo/semantics/openAccess2024-12-07T21:00:11Zoai:repositorio.udesc.br:UDESC/8982Biblioteca Digital de Teses e Dissertaçõeshttps://pergamumweb.udesc.br/biblioteca/index.phpPRIhttps://repositorio-api.udesc.br/server/oai/requestri@udesc.bropendoar:63912024-12-07T21:00:11Repositório Institucional da Udesc - Universidade do Estado de Santa Catarina (UDESC)false
dc.title.none.fl_str_mv An ecology-based evolutionary algorithm applied to the 2D-AB off-lattice protein structure prediction problem
title An ecology-based evolutionary algorithm applied to the 2D-AB off-lattice protein structure prediction problem
spellingShingle An ecology-based evolutionary algorithm applied to the 2D-AB off-lattice protein structure prediction problem
Lopes H.S.
title_short An ecology-based evolutionary algorithm applied to the 2D-AB off-lattice protein structure prediction problem
title_full An ecology-based evolutionary algorithm applied to the 2D-AB off-lattice protein structure prediction problem
title_fullStr An ecology-based evolutionary algorithm applied to the 2D-AB off-lattice protein structure prediction problem
title_full_unstemmed An ecology-based evolutionary algorithm applied to the 2D-AB off-lattice protein structure prediction problem
title_sort An ecology-based evolutionary algorithm applied to the 2D-AB off-lattice protein structure prediction problem
author Lopes H.S.
author_facet Lopes H.S.
Parpinelli, Rafael Stubs
author_role author
author2 Parpinelli, Rafael Stubs
author2_role author
dc.contributor.author.fl_str_mv Lopes H.S.
Parpinelli, Rafael Stubs
description This paper applies an ecology-inspired algorithm (ECO) to solve a complex problem from bioinformatics. The ecological-inspired algorithm represents a new perspective to develop cooperative evolutionary algorithms. Different algorithms are applied to compose the computational ecosystem, both homogeneously and heterogeneously. The aim is to search low energy conformations for the Protein Structure Prediction problem, concerning the 2D-AB off-lattice model. From the results, the heterogeneous configuration obtained the best conformations for almost all cases, possibly due to the use of different intensification and diversification strategies provided by different search algorithms. © 2013 IEEE.
publishDate 2013
dc.date.none.fl_str_mv 2013
2024-12-06T14:35:35Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/conferenceObject
format conferenceObject
status_str publishedVersion
dc.identifier.uri.fl_str_mv 10.1109/BRACIS.2013.19
https://repositorio.udesc.br/handle/UDESC/8982
identifier_str_mv 10.1109/BRACIS.2013.19
url https://repositorio.udesc.br/handle/UDESC/8982
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Proceedings - 2013 Brazilian Conference on Intelligent Systems, BRACIS 2013
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv p. 64 - 69
dc.source.none.fl_str_mv reponame:Repositório Institucional da Udesc
instname:Universidade do Estado de Santa Catarina (UDESC)
instacron:UDESC
instname_str Universidade do Estado de Santa Catarina (UDESC)
instacron_str UDESC
institution UDESC
reponame_str Repositório Institucional da Udesc
collection Repositório Institucional da Udesc
repository.name.fl_str_mv Repositório Institucional da Udesc - Universidade do Estado de Santa Catarina (UDESC)
repository.mail.fl_str_mv ri@udesc.br
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