Symbiosis, complexification and simplicity under {GP}

  • Lichodzijewski P
  • Heywood M
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Models of Genetic Programming (GP) frequently reflect
a neo-Darwinian view to evolution in which inheritance
is based on a process of gradual refinement and the
resulting solutions take the form of single monolithic
programs. Conversely, introducing an explicitly
symbiotic model of inheritance makes a
divide-and-conquer metaphor for problem decomposition
central to evolution. Benchmarking gradualist versus
symbiotic models of evolution under a common
evolutionary framework illustrates that not only does
symbiosis result in more accurate solutions, but the
solutions are also much simpler in terms of instruction
and attribute count over a wide range of classification
problem domains.

Author-supplied keywords

  • genetic algorithms
  • genetic programming

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  • Peter Lichodzijewski

  • Malcolm I Heywood

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