Quaternionic flower pollination algorithm
Autor(a) principal: | |
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Data de Publicação: | 2017 |
Outros Autores: | , , , |
Tipo de documento: | Artigo de conferência |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://dx.doi.org/10.1007/978-3-319-64698-5_5 http://hdl.handle.net/11449/179133 |
Resumo: | Metaheuristic-based optimization techniques offer an elegant and easy-to-follow framework to optimize different types of problems, ranging from aerodynamics to machine learning. Though such techniques are suitable for global optimization, they can still be get trapped locally under certain conditions, thus leading to reduced performance. In this work, we propose a quaternionic-based Flower Pollination Algorithm (FPA), which extends standard FPA to possibly smoother search spaces based on hypercomplex representations. We show the proposed approach is more accurate than five other metaheuristic techniques in four benchmarking functions. We also present a parallel version of the proposed approach that runs much faster. |
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Quaternionic flower pollination algorithmFlower pollination algorithmMetaheuristicsQuaternionsMetaheuristic-based optimization techniques offer an elegant and easy-to-follow framework to optimize different types of problems, ranging from aerodynamics to machine learning. Though such techniques are suitable for global optimization, they can still be get trapped locally under certain conditions, thus leading to reduced performance. In this work, we propose a quaternionic-based Flower Pollination Algorithm (FPA), which extends standard FPA to possibly smoother search spaces based on hypercomplex representations. We show the proposed approach is more accurate than five other metaheuristic techniques in four benchmarking functions. We also present a parallel version of the proposed approach that runs much faster.Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)School of Sciences UNESP - São Paulo State UniversityDepartment of Computing UFSCar - Federal University of São CarlosInstitute of Natural Sciences and Technology UNESP - São Paulo State UniversitySchool of Science and Technology Middlesex UniversitySchool of Sciences UNESP - São Paulo State UniversityInstitute of Natural Sciences and Technology UNESP - São Paulo State UniversityFAPESP: #2014/12236-1FAPESP: #2014/16250-9FAPESP: #2015/25739-4FAPESP: #2016/21243-7CNPq: #306166/2014-3Universidade Estadual Paulista (Unesp)Universidade Federal de São Carlos (UFSCar)Middlesex UniversityRosa, Gustavo H. [UNESP]Afonso, Luis C. S.Baldassin, Alexandro [UNESP]Papa, João P. [UNESP]Yang, Xin-She2018-12-11T17:33:53Z2018-12-11T17:33:53Z2017-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObject47-58http://dx.doi.org/10.1007/978-3-319-64698-5_5Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), v. 10425 LNCS, p. 47-58.1611-33490302-9743http://hdl.handle.net/11449/17913310.1007/978-3-319-64698-5_52-s2.0-85028465902Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)0,295info:eu-repo/semantics/openAccess2024-04-23T16:11:19Zoai:repositorio.unesp.br:11449/179133Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T16:02:04.542800Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
Quaternionic flower pollination algorithm |
title |
Quaternionic flower pollination algorithm |
spellingShingle |
Quaternionic flower pollination algorithm Rosa, Gustavo H. [UNESP] Flower pollination algorithm Metaheuristics Quaternions |
title_short |
Quaternionic flower pollination algorithm |
title_full |
Quaternionic flower pollination algorithm |
title_fullStr |
Quaternionic flower pollination algorithm |
title_full_unstemmed |
Quaternionic flower pollination algorithm |
title_sort |
Quaternionic flower pollination algorithm |
author |
Rosa, Gustavo H. [UNESP] |
author_facet |
Rosa, Gustavo H. [UNESP] Afonso, Luis C. S. Baldassin, Alexandro [UNESP] Papa, João P. [UNESP] Yang, Xin-She |
author_role |
author |
author2 |
Afonso, Luis C. S. Baldassin, Alexandro [UNESP] Papa, João P. [UNESP] Yang, Xin-She |
author2_role |
author author author author |
dc.contributor.none.fl_str_mv |
Universidade Estadual Paulista (Unesp) Universidade Federal de São Carlos (UFSCar) Middlesex University |
dc.contributor.author.fl_str_mv |
Rosa, Gustavo H. [UNESP] Afonso, Luis C. S. Baldassin, Alexandro [UNESP] Papa, João P. [UNESP] Yang, Xin-She |
dc.subject.por.fl_str_mv |
Flower pollination algorithm Metaheuristics Quaternions |
topic |
Flower pollination algorithm Metaheuristics Quaternions |
description |
Metaheuristic-based optimization techniques offer an elegant and easy-to-follow framework to optimize different types of problems, ranging from aerodynamics to machine learning. Though such techniques are suitable for global optimization, they can still be get trapped locally under certain conditions, thus leading to reduced performance. In this work, we propose a quaternionic-based Flower Pollination Algorithm (FPA), which extends standard FPA to possibly smoother search spaces based on hypercomplex representations. We show the proposed approach is more accurate than five other metaheuristic techniques in four benchmarking functions. We also present a parallel version of the proposed approach that runs much faster. |
publishDate |
2017 |
dc.date.none.fl_str_mv |
2017-01-01 2018-12-11T17:33:53Z 2018-12-11T17:33:53Z |
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 |
http://dx.doi.org/10.1007/978-3-319-64698-5_5 Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), v. 10425 LNCS, p. 47-58. 1611-3349 0302-9743 http://hdl.handle.net/11449/179133 10.1007/978-3-319-64698-5_5 2-s2.0-85028465902 |
url |
http://dx.doi.org/10.1007/978-3-319-64698-5_5 http://hdl.handle.net/11449/179133 |
identifier_str_mv |
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), v. 10425 LNCS, p. 47-58. 1611-3349 0302-9743 10.1007/978-3-319-64698-5_5 2-s2.0-85028465902 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 0,295 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
47-58 |
dc.source.none.fl_str_mv |
Scopus reponame:Repositório Institucional da UNESP instname:Universidade Estadual Paulista (UNESP) instacron:UNESP |
instname_str |
Universidade Estadual Paulista (UNESP) |
instacron_str |
UNESP |
institution |
UNESP |
reponame_str |
Repositório Institucional da UNESP |
collection |
Repositório Institucional da UNESP |
repository.name.fl_str_mv |
Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP) |
repository.mail.fl_str_mv |
|
_version_ |
1808128597169274880 |