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Parameter Estimation of the Kinetic \(\alpha \)-Pinene Isomerization Model Using the MCSFilter Algorithm

  • Andreia Amador
  • Florbela P. FernandesEmail author
  • Lino O. Santos
  • Andrey Romanenko
  • Ana Maria A. C. Rocha
Conference paper
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Part of the Lecture Notes in Computer Science book series (LNCS, volume 10961)

Abstract

This paper aims to illustrate the application of a derivative-free multistart algorithm with coordinate search filter, designated as the MCSFilter algorithm. The problem used in this study is the parameter estimation problem of the kinetic \(\alpha \)-pinene isomerization model. This is a well known nonlinear optimization problem (NLP) that has been investigated as a case study for performance testing of most derivative based methods proposed in the literature. Since the MCSFilter algorithm features a stochastic component, it was run ten times to solve the NLP problem. The optimization problem was successfully solved in all the runs and the optimal solution demonstrates that the MCSFilter provides a good quality solution.

Keywords

MCSFilter \(\alpha \)-pinene isomerization model Multistart Derivative-free optimization 
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Copyright information

© Springer International Publishing AG, part of Springer Nature 2018

Authors and Affiliations

  1. 1.CIEPQPF, Department of Chemical Engineering, Faculty of Sciences and TechnologyUniversity of CoimbraCoimbraPortugal
  2. 2.Research Centre in Digitalization and Intelligent Robotics (CeDRI)Instituto Politécnico de BragançaBragançaPortugal
  3. 3.Ciengis, SACoimbraPortugal
  4. 4.Algoritmi Research CentreUniversity of MinhoBragaPortugal

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