GGGP-based method for modeling time series: operator selection, parameter optimization and expert evaluation

  • Authors:
  • Fernando Alonso;Loïc Martínez;Agustín Santamaría;Aurora Pérez;Juan Pedro Valente

  • Affiliations:
  • Fac.Informática, UPM, Madrid, Spain;Fac.Informática, UPM, Madrid, Spain;Fac.Informática, UPM, Madrid, Spain;Fac.Informática, UPM, Madrid, Spain;Fac.Informática, UPM, Madrid, Spain

  • Venue:
  • Proceedings of the 12th annual conference on Genetic and evolutionary computation
  • Year:
  • 2010

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Abstract

This paper describes the theoretical and experimental analysis conducted to define the best values for the various operators and parameters of a grammar-guided genetic programming process for creating isokinetic reference models for top competition athletes. Isokinetics is a medical domain that studies the strength exerted by the patient joints (knee, ankle, etc.). We also present an evaluation of the resulting reference models comparing our results with the reference models output using other methods.