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http://hdl.handle.net/1843/81196| Type: | Artigo de Evento |
| Title: | Uma abordagem evolutiva multiobjetivo baseada em ponto de atração para seleção de variáveis em problemas de classificação de falhas |
| Authors: | Fernando Marcos Souza Silva Jessica Flaviane Ferreira Reinaldo Martinez Palhares Marcos Flávio Silveira Vasconcelos D'angelo |
| Abstract: | This paper presents a variable selection wrapper method called NSGA-II-GMM-AP that is based on the evolutionary algorithm NSGA-II and classifiers that uses Gaussian Mixture Models. This algorithm is a bi-objective approach that has as main characteristic the use of attraction point which is responsible for the complexity control of individuals in the NSGA-II population during the optimization process. Experiments carried out on Tennessee Eastman Petrochemical Process dataset for fault classification showed that NSGA-II-GMM-AP leads to solutions with lower classification error than the other methods applied, being a promising approach to the variable selection problem. |
| Subject: | Engenharia de produção Controle automático Teoria do controle Modelos matemáticos |
| language: | por |
| metadata.dc.publisher.country: | Brasil |
| Publisher: | Universidade Federal de Minas Gerais |
| Publisher Initials: | UFMG |
| metadata.dc.publisher.department: | ENG - DEPARTAMENTO DE ENGENHARIA ELETRÔNICA |
| Rights: | Acesso Aberto |
| URI: | http://hdl.handle.net/1843/81196 |
| Issue Date: | 2017 |
| metadata.dc.url.externa: | http://ws2.din.uem.br/~ademir/sbpo/sbpo2017/pdf/168920.pdf |
| metadata.dc.relation.ispartof: | XLIX Simpósio Brasileiro de Pesquisa Operacional |
| Appears in Collections: | Artigo de Evento |
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