Optimisation of Multiple Response Processes Using Different Modeling Techniques (2023)
- Authors:
- USP affiliated authors: GOMES, FABRÍCIO MACIEL - EEL ; PEREIRA, FÉLIX MONTEIRO - EEL ; ANDRADE, HERLANDÍ DE SOUZA - EEL ; SILVA, MESSIAS BORGES - EEL ; IMAMURA, CAMILA EIMI - EP
- Unidades: EEL; EP
- DOI: 10.12776/qip.v27i3.1899
- Subjects: GEOMETRIA E MODELAGEM COMPUTACIONAL; SIMULAÇÃO (APRENDIZAGEM)
- Keywords: mathematical modelling; symbolic regression; multiple response optimisation
- Language: Inglês
- Abstract: Purpose: This article aims to compare the impact on process optimisation with multiple responses of two different mathematical modelling methods: Ordinary Least Squares Method (OLS) and Symbolic Regression Method (SR). Methodology/Approach: Data from the literature were selected from the design of experiments for a process with multiple responses. Using these data, models were obtained that represented each response as a function of independent variables using the OLS and SR techniques. Then, the Desirability method was applied together with the Generalized Reduced Gradient (GRG) in order to obtain the process adjustment that would lead to the optimisation of the responses. Findings: The findings illustrate that the SR modelling technique yields models with superior predictive capabilities when contrasted with the OLS technique. Throughout the optimisation process, it becomes evident that the adjustments in the process diverge, even though the desirability function's value exhibits negligible variation. Research Limitation/implication: This research considered only an SR algorithm and a process with two dependent variables and two independent variables. Originality/Value of paper: No works were found in the literature that reported the use of the Age-Layered Population Structure (ALPS) algorithm in modelling processes that contain multiple responses. Furthermore, no comparison of this method with the OLS method was available.
- Imprenta:
- Source:
- Título: Quality Innovation Prosperity-Kvalita Inovacia Prosperita
- ISSN: 1338-984X
- Volume/Número/Paginação/Ano: v.27, n.3, p.18-36, 2023
- Este artigo possui versão em acesso aberto
- URL de acesso aberto
- PDF de acesso aberto
- Versão do Documento: Versão publicada (Published version)
-
Status: Artigo publicado em periódico de acesso aberto (Gold Open Access) -
ABNT
GOMES, Fabrício Maciel et al. Optimisation of Multiple Response Processes Using Different Modeling Techniques. Quality Innovation Prosperity-Kvalita Inovacia Prosperita, v. 27, n. 3, p. 18-36, 2023Tradução . . Disponível em: https://doi.org/10.12776/qip.v27i3.1899. Acesso em: 14 mar. 2026. -
APA
Gomes, F. M., Imamura, C. H., Sampaio, N. A. de S., Pereira, F. M., Andrade, H. de S., & Silva, M. B. (2023). Optimisation of Multiple Response Processes Using Different Modeling Techniques. Quality Innovation Prosperity-Kvalita Inovacia Prosperita, 27( 3), 18-36. doi:10.12776/qip.v27i3.1899 -
NLM
Gomes FM, Imamura CH, Sampaio NA de S, Pereira FM, Andrade H de S, Silva MB. Optimisation of Multiple Response Processes Using Different Modeling Techniques [Internet]. Quality Innovation Prosperity-Kvalita Inovacia Prosperita. 2023 ;27( 3): 18-36.[citado 2026 mar. 14 ] Available from: https://doi.org/10.12776/qip.v27i3.1899 -
Vancouver
Gomes FM, Imamura CH, Sampaio NA de S, Pereira FM, Andrade H de S, Silva MB. Optimisation of Multiple Response Processes Using Different Modeling Techniques [Internet]. Quality Innovation Prosperity-Kvalita Inovacia Prosperita. 2023 ;27( 3): 18-36.[citado 2026 mar. 14 ] Available from: https://doi.org/10.12776/qip.v27i3.1899 - Comparative study between different methods of agglutination in multiple response optimization
- Estudo comparativo entre métodos de otimização de problemas com múltiplas respostas
- Multiple response optimization: Analysis of genetic programming for symbolic regression and assessment of desirability functions
- Estudo comparativo entre os métodos gradiente reduzido generalizado e algoritmo genético em otimização com múltiplas respostas
- Determinação do fator de efetividade para enzimas imobilizadas usando métodos de regressão simbólica via programação genética
- Improving the delivery performance: a case study applying statistical approaches for brasilian fast food
- Comparison of financial results of companies with different production systems: a case study of lean manufacturing and industry 4.0
- Using statistical techniques to validate the hypothesis of independence in control charts
- Contributions to the future of metaheuristics in the contours of scientific development
- Técnicas de design of Experiments aplicadas à parametrização do processo de Impressão 3D e Prototipagem Rápida de itens automotivos
Informações sobre a disponibilidade de versões do artigo em acesso aberto coletadas automaticamente via oaDOI API (Unpaywall).
Download do texto completo
| Tipo | Nome | Link | |
|---|---|---|---|
 |
kzgodav__1899-Article_Tex... | Direct link |
How to cite
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
