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Publication Detail
Theoretical Results in Genetic Programming: The next ten years?
  • Publication Type:
    Journal article
  • Publication Sub Type:
  • Authors:
    Poli R, Vanneschi L, Langdon WB, McPhee NF
  • Publication date:
  • Pagination:
    285, 320
  • Journal:
    Genetic Programming and Evolvable Machines
  • Volume:
  • Article number:
  • Print ISSN:
  • Notes:
    Tenth Anniversary Issue: Progress in Genetic Programming and Evolvable Machines keywords: genetic algorithms, genetic programming, Theory, Challenges, Open problems size: 36 pages
We consider the theoretical results in GP so far and prospective areas for the future. We begin by reviewing the state of the art in genetic programming (GP) theory including: schema theories, Markov chain models, the distribution of functionality in program search spaces, the problem of bloat, the applicability of the no-free-lunch theory to GP, and how we can estimate the difficulty of problems before actually running the system. We then look at how each of these areas might develop in the next decade, considering also new possible avenues for theory, the challenges ahead and the open issues.
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