Parallel optimization by means of a Spectral-Projected-Gradient approach

Juan Ignacio Ardenghi, Gustavo Esteban Vazquez, Nélida Beatriz Brignole

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

The judicious exploitation of the inherent optimization capabilities of the Spectral-Projected-Gradient method (SPG) is proposed. SPG was implemented in order to achieve efficiency. The novel adjustments of the standard SPG algorithm showed that the parallel approach proves to be useful for optimization problems related to process systems engineering. Efficiency was achieved without having to relax the problems because the original model solutions were obtained in reasonable time.

Original languageEnglish
Pages (from-to)344-354
Number of pages11
JournalComputers and Chemical Engineering
Volume81
DOIs
StatePublished - 4 Oct 2015

Keywords

  • Efficiency
  • Non-linear problems
  • Optimization
  • Parallel programming

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