Software for optimization using a sequential simplex method

  • Evandro Bona UEL
  • Dionísio Borsato UEL
  • Rui Sérgio dos Santos Ferreira da Silva UEL
  • Renata Paula Herrera UEL
DOI: https://doi.org/10.4025/actascitechnol.v22i0.3012

Abstract

A computer program for process optimization influenced by continuous and qualitative variables was developed from the simplex method. Software was validated through case studies found in literature by predictive models with two distinct processes. The obtained results showed great concordance with values supplied by literature. The developed program is portable and friendly, and may be used in several optimization systems. Software complementation with other subroutines, as combined response optimization, may make its application more comprehensive.

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Author Biography

Rui Sérgio dos Santos Ferreira da Silva, UEL
Possui graduação em Engenharia Química pela Universidade Federal do Paraná , mestrado pela Universidade Federal do Rio de Janeiro(COPPE) e doutorado pela Universidade Estadual de Campinas (FEA). Atualmente é professor titular da Universidade Estadual de Londrina (UEL). Professor visitante na FCF/USP e EQ/UFPR. Orientou a formação de 35 estudantes entre mestres e doutores na área de alimentos. Tem 31 anos de experiência na área de Ciência e Tecnologia de Alimentos, atuando principalmente nos seguintes campos: modelagem, simulação e otimização em sistemas alimentares (lider de grupo de pesquisa do CNPq) , desenvolvimento de novos produtos e estatística aplicada. Publicou 77 trabalhos científicos, como autor ou co-autor, sendo 33 em periódicos internacionais. Ex-Diretor do CCE e ex-Coordenador (Pró-Reitor) de Pesquisa e Pós-Graduação da UEL. Presidente (2007-8) da sbCTA/PR e membro do Conselho Editorial do periódico (ITAL) Brazilian Journal of Food Technology Currículo Lattes
Published
2008-05-13
How to Cite
Bona, E., Borsato, D., Silva, R. S. dos S. F. da, & Herrera, R. P. (2008). Software for optimization using a sequential simplex method. Acta Scientiarum. Technology, 22, 1201-1206. https://doi.org/10.4025/actascitechnol.v22i0.3012
Issue
Vol 22 (2000)
Section
Chemical Engineering

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0.8
2019CiteScore
 
 
36th percentile
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