Many-objectives optimization: a machine learning approach for reducing the number of objectives (2023)
- Authors:
- USP affiliated authors: MONACO, FRANCISCO JOSÉ - ICMC ; DELBEM, ALEXANDRE CLÁUDIO BOTAZZO - ICMC
- Unidade: ICMC
- DOI: 10.3390/mca28010017
- Subjects: APRENDIZADO COMPUTACIONAL; BENCHMARKS; MINERAÇÃO DE DADOS
- Keywords: objectives reduction; multi-objective optimization; many objectives
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Source:
- Título: Mathematical and Computational Applications
- ISSN: 1300-686X
- Volume/Número/Paginação/Ano: v. 28, p. 1-19, 2023
- Este periódico é de acesso aberto
- Este artigo é de acesso aberto
- URL de acesso aberto
- Cor do Acesso Aberto: gold
- Licença: cc-by
-
ABNT
GASPAR-CUNHA, António et al. Many-objectives optimization: a machine learning approach for reducing the number of objectives. Mathematical and Computational Applications, v. 28, p. 1-19, 2023Tradução . . Disponível em: https://doi.org/10.3390/mca28010017. Acesso em: 01 jan. 2026. -
APA
Gaspar-Cunha, A., Costa, P., Monaco, F. J., & Delbem, A. C. B. (2023). Many-objectives optimization: a machine learning approach for reducing the number of objectives. Mathematical and Computational Applications, 28, 1-19. doi:10.3390/mca28010017 -
NLM
Gaspar-Cunha A, Costa P, Monaco FJ, Delbem ACB. Many-objectives optimization: a machine learning approach for reducing the number of objectives [Internet]. Mathematical and Computational Applications. 2023 ; 28 1-19.[citado 2026 jan. 01 ] Available from: https://doi.org/10.3390/mca28010017 -
Vancouver
Gaspar-Cunha A, Costa P, Monaco FJ, Delbem ACB. Many-objectives optimization: a machine learning approach for reducing the number of objectives [Internet]. Mathematical and Computational Applications. 2023 ; 28 1-19.[citado 2026 jan. 01 ] Available from: https://doi.org/10.3390/mca28010017 - Evolutionary multi-objective optimization of extrusion barrier screws: data mining and decision making
- Characterization of runtime resource usage from analysis of binary executable programs
- Caracterização do perfil de carga a partir de programas binários
- Application of artificial intelligence techniques in the optimization of single screw polymer extrusion
- Genetic algorithm for the determination of linear viscoelastic relaxation spectrum from experimental data
- Multi-objective optimization of single screw polymer extrusion based on artificial intelligence
- Reducing the number of objectives for many objectives optimization: empirical analysis of a machine learning approach
- Caracterização do perfil de consumo de recursos de programas binários utilizando a técnica DAMICORE
- Artificial intelligence in single screw polymer extrusion: learning from computational data
- Regularization-free multicriteria optimization of polymer viscoelasticity model
Informações sobre o DOI: 10.3390/mca28010017 (Fonte: oaDOI API)
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