Reducing the number of objectives for many objectives optimization: empirical analysis of a machine learning approach (2023)
- Authors:
- USP affiliated authors: MONACO, FRANCISCO JOSÉ - ICMC ; DELBEM, ALEXANDRE CLÁUDIO BOTAZZO - ICMC
- Unidade: ICMC
- DOI: 10.7712/140123.10205.18861
- Subjects: APRENDIZADO COMPUTACIONAL; ALGORITMOS GENÉTICOS; ANÁLISE DE DESEMPENHO
- Keywords: Multi-objective optimization; Evolutionary Algorithms; Reduction of the number of objectives
- Language: Inglês
- Imprenta:
- Source:
- Título do periódico: Proceedings
- Conference titles: Thematic Conference on Evolutionary and Deterministic Methods for Design, Optimization and Control - EUROGEN
- Este periódico é de assinatura
- Este artigo é de acesso aberto
- URL de acesso aberto
- Cor do Acesso Aberto: bronze
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ABNT
GASPAR-CUNHA, António et al. Reducing the number of objectives for many objectives optimization: empirical analysis of a machine learning approach. 2023, Anais.. Barcelona: ECCOMAS, 2023. Disponível em: https://doi.org/10.7712/140123.10205.18861. Acesso em: 29 maio 2024. -
APA
Gaspar-Cunha, A., Costa, P., Monaco, F. J., & Delbem, A. C. B. (2023). Reducing the number of objectives for many objectives optimization: empirical analysis of a machine learning approach. In Proceedings. Barcelona: ECCOMAS. doi:10.7712/140123.10205.18861 -
NLM
Gaspar-Cunha A, Costa P, Monaco FJ, Delbem ACB. Reducing the number of objectives for many objectives optimization: empirical analysis of a machine learning approach [Internet]. Proceedings. 2023 ;[citado 2024 maio 29 ] Available from: https://doi.org/10.7712/140123.10205.18861 -
Vancouver
Gaspar-Cunha A, Costa P, Monaco FJ, Delbem ACB. Reducing the number of objectives for many objectives optimization: empirical analysis of a machine learning approach [Internet]. Proceedings. 2023 ;[citado 2024 maio 29 ] Available from: https://doi.org/10.7712/140123.10205.18861 - Application of artificial intelligence techniques in the optimization of single screw polymer extrusion
- Caracterização do perfil de carga a partir de programas binários
- Evolutionary multi-objective optimization of extrusion barrier screws: data mining and decision making
- Many-objectives optimization: a machine learning approach for reducing the number of objectives
- Characterization of runtime resource usage from analysis of binary executable programs
- Artificial intelligence in single screw polymer extrusion: learning from computational data
- Regularization-free multicriteria optimization of polymer viscoelasticity model
- Caracterização do perfil de consumo de recursos de programas binários utilizando a técnica DAMICORE
- Multi-objective optimization of single screw polymer extrusion based on artificial intelligence
- Genetic algorithm for the determination of linear viscoelastic relaxation spectrum from experimental data
Informações sobre o DOI: 10.7712/140123.10205.18861 (Fonte: oaDOI API)
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