Explicit Control of Diversity and Effective Variation Distance in Linear Genetic Programming

  • Authors:
  • Markus Brameier;Wolfgang Banzhaf

  • Affiliations:
  • -;-

  • Venue:
  • EuroGP '02 Proceedings of the 5th European Conference on Genetic Programming
  • Year:
  • 2002

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Abstract

We have investigated structural distance metrics for linear genetic programs. Causal connections between changes of the genotype and changes of the phenotype form a necessary condition for analyzing structural differences between genetic programs and for the two objectives of this paper: (i) Distance information between individuals is used to control structural diversity of population individuals actively by a two-level tournament selection. (ii) Variation distance is controlled on the effective code for different genetic operators - including a mutation operator that works closely with the applied distance metric. Numerous experiments have been performed for three benchmark problems.