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Symbolic Regression Model Comparison Approach Using Transmitted Variation

  • Flor A. CastilloEmail author
  • Carlos M. Villa
  • Arthur K. Kordon
Chapter
Part of the Genetic and Evolutionary Computation book series (GEVO)

Abstract

Model evaluation in symbolic regression generated by GP is of critical importance for successful industrial applications. Typically this model evaluation is achieved by a tradeoff between model complexity and R 2. The chapter introduces a model comparison approach based on the transmission of variation from the inputs to the output. The approach is illustrated with three different data sets from real industrial applications.

Key words

Symbolic regression Model comparison Transmitted variation Pareto front Interpolation Monte Carlo 

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Copyright information

© Springer Science+Business Media New York 2013

Authors and Affiliations

  • Flor A. Castillo
    • 1
    Email author
  • Carlos M. Villa
    • 1
  • Arthur K. Kordon
    • 1
  1. 1.The Dow Chemical CompanyFreeportUSA

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