Node adaptation for global collocation with radial basis functions using direct multisearch for multiobjective optimization
Autor(a) principal: | |
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Data de Publicação: | 2014 |
Outros Autores: | , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10400.21/5009 |
Resumo: | Meshless methods are used for their capability of producing excellent solutions without requiring a mesh, avoiding mesh related problems encountered in other numerical methods, such as finite elements. However, node placement is still an open question, specially in strong form collocation meshless methods. The number of used nodes can have a big influence on matrix size and therefore produce ill-conditioned matrices. In order to optimize node position and number, a direct multisearch technique for multiobjective optimization is used to optimize node distribution in the global collocation method using radial basis functions. The optimization method is applied to the bending of isotropic simply supported plates. Using as a starting condition a uniformly distributed grid, results show that the method is capable of reducing the number of nodes in the grid without compromising the accuracy of the solution. (C) 2013 Elsevier Ltd. All rights reserved. |
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Node adaptation for global collocation with radial basis functions using direct multisearch for multiobjective optimizationMeshless MethodRadial Basis FunctionsMultiobjective OptimizationDirect-Search MethodsPareto DominanceMeshless methods are used for their capability of producing excellent solutions without requiring a mesh, avoiding mesh related problems encountered in other numerical methods, such as finite elements. However, node placement is still an open question, specially in strong form collocation meshless methods. The number of used nodes can have a big influence on matrix size and therefore produce ill-conditioned matrices. In order to optimize node position and number, a direct multisearch technique for multiobjective optimization is used to optimize node distribution in the global collocation method using radial basis functions. The optimization method is applied to the bending of isotropic simply supported plates. Using as a starting condition a uniformly distributed grid, results show that the method is capable of reducing the number of nodes in the grid without compromising the accuracy of the solution. (C) 2013 Elsevier Ltd. All rights reserved.Elsevier Science BVRCIPLRoque, C. M. C.Madeira, JFAFerreira, A. J. M.2015-08-25T14:24:06Z2014-022014-02-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.21/5009engROQUE, C. M. C.; MADEIRA, José Firmino Aguilar; FERREIRA, A. J. M. – Node adaptation for global collocation with radial basis functions using direct multisearch for multiobjective optimization. Engineering Analysis with Boundary Elements. ISSN: 0955-7997. Vol. 39 (2014), pp. 5-140955-799710.1016/j.enganabound.2013.10.012metadata only accessinfo: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:RCAAP2023-08-03T09:47:50Zoai:repositorio.ipl.pt:10400.21/5009Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T20:14:21.316716Repositório 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 |
Node adaptation for global collocation with radial basis functions using direct multisearch for multiobjective optimization |
title |
Node adaptation for global collocation with radial basis functions using direct multisearch for multiobjective optimization |
spellingShingle |
Node adaptation for global collocation with radial basis functions using direct multisearch for multiobjective optimization Roque, C. M. C. Meshless Method Radial Basis Functions Multiobjective Optimization Direct-Search Methods Pareto Dominance |
title_short |
Node adaptation for global collocation with radial basis functions using direct multisearch for multiobjective optimization |
title_full |
Node adaptation for global collocation with radial basis functions using direct multisearch for multiobjective optimization |
title_fullStr |
Node adaptation for global collocation with radial basis functions using direct multisearch for multiobjective optimization |
title_full_unstemmed |
Node adaptation for global collocation with radial basis functions using direct multisearch for multiobjective optimization |
title_sort |
Node adaptation for global collocation with radial basis functions using direct multisearch for multiobjective optimization |
author |
Roque, C. M. C. |
author_facet |
Roque, C. M. C. Madeira, JFA Ferreira, A. J. M. |
author_role |
author |
author2 |
Madeira, JFA Ferreira, A. J. M. |
author2_role |
author author |
dc.contributor.none.fl_str_mv |
RCIPL |
dc.contributor.author.fl_str_mv |
Roque, C. M. C. Madeira, JFA Ferreira, A. J. M. |
dc.subject.por.fl_str_mv |
Meshless Method Radial Basis Functions Multiobjective Optimization Direct-Search Methods Pareto Dominance |
topic |
Meshless Method Radial Basis Functions Multiobjective Optimization Direct-Search Methods Pareto Dominance |
description |
Meshless methods are used for their capability of producing excellent solutions without requiring a mesh, avoiding mesh related problems encountered in other numerical methods, such as finite elements. However, node placement is still an open question, specially in strong form collocation meshless methods. The number of used nodes can have a big influence on matrix size and therefore produce ill-conditioned matrices. In order to optimize node position and number, a direct multisearch technique for multiobjective optimization is used to optimize node distribution in the global collocation method using radial basis functions. The optimization method is applied to the bending of isotropic simply supported plates. Using as a starting condition a uniformly distributed grid, results show that the method is capable of reducing the number of nodes in the grid without compromising the accuracy of the solution. (C) 2013 Elsevier Ltd. All rights reserved. |
publishDate |
2014 |
dc.date.none.fl_str_mv |
2014-02 2014-02-01T00:00:00Z 2015-08-25T14:24:06Z |
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/10400.21/5009 |
url |
http://hdl.handle.net/10400.21/5009 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
ROQUE, C. M. C.; MADEIRA, José Firmino Aguilar; FERREIRA, A. J. M. – Node adaptation for global collocation with radial basis functions using direct multisearch for multiobjective optimization. Engineering Analysis with Boundary Elements. ISSN: 0955-7997. Vol. 39 (2014), pp. 5-14 0955-7997 10.1016/j.enganabound.2013.10.012 |
dc.rights.driver.fl_str_mv |
metadata only access info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
metadata only access |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Elsevier Science BV |
publisher.none.fl_str_mv |
Elsevier Science BV |
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 |
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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 |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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1817553025897594880 |