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Modification point depth and genome growth in genetic programming.

Sean Luke1

  • 1Department of Computer Science, George Mason University, 4400 University Drive MS# 4A5, Fairfax, VA 22030, USA. sean@cs.gmu.edu

Evolutionary Computation
|June 14, 2003
PubMed
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Genetic programming bloat, or uncontrolled genome growth, is not caused by introns. Instead, bloat results from the depth of modification points during genetic crossover or mutation, impacting offspring size.

Area of Science:

  • Computer Science
  • Artificial Intelligence
  • Evolutionary Computation

Background:

  • Genetic programming (GP) utilizes arbitrary-length representations, but faces scalability challenges due to bloat (uncontrolled genome growth).
  • Existing models attribute bloat in GP to the proliferation of non-functional introns within an individual's genome.
  • Bloat is a significant issue in evolutionary computation, with GP receiving the most attention.

Purpose of the Study:

  • To challenge the prevailing intron theories of bloat in tree-based genetic programming.
  • To propose and provide evidence for a new model explaining genome growth in GP.

Main Methods:

  • Directly contradicted intron theories using empirical evidence from tree-based genetic programming.
  • Collected data on genome growth patterns during evolutionary runs.

Related Experiment Videos

  • Analyzed the correlation between modification point depth, parent tree size, and child genome size.

    • Main Results:

    • Presented evidence refuting the role of introns in causing bloat in tree-based GP.
    • Proposed a new model where bloat is a function of the mean depth of modification points.
    • Demonstrated that modification points deeper in the tree are less likely to impact offspring survivability.

    Conclusions:

    • Intron theories do not adequately explain bloat in tree-based genetic programming.
    • Genome growth in GP is primarily driven by the depth of crossover and mutation points.
    • The depth of modification points is correlated with parent tree size and removed subtree size, influencing child genome size.