Solving High-Order Boolean Parity Problems with Smooth Uniform Crossover, Sub-Machine Code GP and Demes

  • Authors:
  • Riccardo Poli;Jonathan Page

  • Affiliations:
  • School of Computer Science, The University of Birmingham, Birmingham, B15 2TT, UK r.poli@cs.bham.ac.uk;School of Computer Science, The University of Birmingham, Birmingham, B15 2TT, UK j.page@cs.bham.ac.uk

  • Venue:
  • Genetic Programming and Evolvable Machines
  • Year:
  • 2000

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Abstract

We propose and study new search operators and a novel node representation that can make GP fitness landscapes smoother. Together with a tree evaluation method known as sub-machine-code GP and the use of demes, these make up a recipe for solving very large parity problems using GP. We tested this recipe on parity problems with up to 22 input variables, solving them with a very high success probability.