A neuroevolutionary approach to feature selection using multiobjective evolutionary algorithms

Bibliographic Details
Main Author: Pinto, Renê Souza
Publication Date: 2021
Other Authors: Costa, M. Fernanda P., Costa, Lino, Gaspar-Cunha, A.
Language: eng
Source: Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
Download full: http://hdl.handle.net/1822/68642
Summary: First Online: 24 November 2020
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network_name_str Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
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spelling A neuroevolutionary approach to feature selection using multiobjective evolutionary algorithmsFeature selectionMulti-objective optimizationNeuroevolutionaryCiências Naturais::Ciências da Computação e da InformaçãoFirst Online: 24 November 2020Feature selection plays a central role in predictive analysis where datasets have hundreds or thousands of variables available. It can also reduce the overall training time and the computational costs of the classifiers used. However, feature selection methods can be computationally intensive or dependent of human expertise to analyze data. This study proposes a neuroevolutionary approach which uses multiobjective evolutionary algorithms to optimize neural network parameters in order to find the best network able to identify the most important variables of analyzed data. Classification is done through a Support Vector Machine (SVM) classifier where specific parameters are also optimized. The method is applied to datasets with different number of features and classes.This work has been supported by FCT - Fundação para a Ciência e Tecnologia in the scope of the projects: PEst-OE/EEI/UI0319/2014, UID/MAT/00013/2013, UID/CEC/00319/2019 and the European project MSCA-RISE-2015, NEWEX, with reference 734205.SpringerUniversidade do MinhoPinto, Renê SouzaCosta, M. Fernanda P.Costa, LinoGaspar-Cunha, A.20212021-01-01T00:00:00Zbook partinfo:eu-repo/semantics/publishedVersionapplication/pdfhttp://hdl.handle.net/1822/68642engPinto R.S., Costa M.F.P., Costa L.A., Gaspar-Cunha A. (2021) A Neuroevolutionary Approach to Feature Selection Using Multiobjective Evolutionary Algorithms. In: Gaspar-Cunha A., Periaux J., Giannakoglou K.C., Gauger N.R., Quagliarella D., Greiner D. (eds) Advances in Evolutionary and Deterministic Methods for Design, Optimization and Control in Engineering and Sciences. Computational Methods in Applied Sciences, vol 55. Springer, Cham. https://doi.org/10.1007/978-3-030-57422-2_6978-3-030-57421-51871-303310.1007/978-3-030-57422-2_6978-3-030-57422-2https://link.springer.com/chapter/10.1007%2F978-3-030-57422-2_6info:eu-repo/semantics/openAccessreponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2024-05-11T04:27:36Zoai:repositorium.sdum.uminho.pt:1822/68642Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-28T14:48:48.487256Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse
dc.title.none.fl_str_mv A neuroevolutionary approach to feature selection using multiobjective evolutionary algorithms
title A neuroevolutionary approach to feature selection using multiobjective evolutionary algorithms
spellingShingle A neuroevolutionary approach to feature selection using multiobjective evolutionary algorithms
Pinto, Renê Souza
Feature selection
Multi-objective optimization
Neuroevolutionary
Ciências Naturais::Ciências da Computação e da Informação
title_short A neuroevolutionary approach to feature selection using multiobjective evolutionary algorithms
title_full A neuroevolutionary approach to feature selection using multiobjective evolutionary algorithms
title_fullStr A neuroevolutionary approach to feature selection using multiobjective evolutionary algorithms
title_full_unstemmed A neuroevolutionary approach to feature selection using multiobjective evolutionary algorithms
title_sort A neuroevolutionary approach to feature selection using multiobjective evolutionary algorithms
author Pinto, Renê Souza
author_facet Pinto, Renê Souza
Costa, M. Fernanda P.
Costa, Lino
Gaspar-Cunha, A.
author_role author
author2 Costa, M. Fernanda P.
Costa, Lino
Gaspar-Cunha, A.
author2_role author
author
author
dc.contributor.none.fl_str_mv Universidade do Minho
dc.contributor.author.fl_str_mv Pinto, Renê Souza
Costa, M. Fernanda P.
Costa, Lino
Gaspar-Cunha, A.
dc.subject.por.fl_str_mv Feature selection
Multi-objective optimization
Neuroevolutionary
Ciências Naturais::Ciências da Computação e da Informação
topic Feature selection
Multi-objective optimization
Neuroevolutionary
Ciências Naturais::Ciências da Computação e da Informação
description First Online: 24 November 2020
publishDate 2021
dc.date.none.fl_str_mv 2021
2021-01-01T00:00:00Z
dc.type.driver.fl_str_mv book part
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/1822/68642
url http://hdl.handle.net/1822/68642
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Pinto R.S., Costa M.F.P., Costa L.A., Gaspar-Cunha A. (2021) A Neuroevolutionary Approach to Feature Selection Using Multiobjective Evolutionary Algorithms. In: Gaspar-Cunha A., Periaux J., Giannakoglou K.C., Gauger N.R., Quagliarella D., Greiner D. (eds) Advances in Evolutionary and Deterministic Methods for Design, Optimization and Control in Engineering and Sciences. Computational Methods in Applied Sciences, vol 55. Springer, Cham. https://doi.org/10.1007/978-3-030-57422-2_6
978-3-030-57421-5
1871-3033
10.1007/978-3-030-57422-2_6
978-3-030-57422-2
https://link.springer.com/chapter/10.1007%2F978-3-030-57422-2_6
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Springer
publisher.none.fl_str_mv Springer
dc.source.none.fl_str_mv reponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
instacron:RCAAP
instname_str FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
instacron_str RCAAP
institution RCAAP
reponame_str Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
collection Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
repository.name.fl_str_mv Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
repository.mail.fl_str_mv info@rcaap.pt
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