skip to main content
10.1145/1068009.1068233acmconferencesArticle/Chapter ViewAbstractPublication PagesgeccoConference Proceedingsconference-collections
Article

Schema disruption in tree-structured chromosomes

Published:25 June 2005Publication History

ABSTRACT

We study if and when the inequality dp(H) ≤ relΔ(H) holds for schemas H in chromosomes that are structured as trees. The disruption probability dp(H) is the probability that a random cut of a tree limb will separate two fixed nodes of H. The relative diameter relΔ(H) is the ratio (max distance between two fixed nodes in H) / (max distance between two tree nodes), and measures how close together are the fixed nodes of H. Inequality dp(H) ≤ relΔ(H) is of significance in proving Schema Theorems for non-linear chromosomes, and so bears upon the success we can expect from genetic algorithms. For linear chromosomes, dp(H) ≤relΔ(H). Our results include the following. There is no constant c such that dp(H) ≤ c • relΔ(H) holds for arbitrary schemas and trees. This is illustrated in trees with eccentric, stringy shapes. Matters improve for dense, ball-like trees, explained herein. Inequality dp(H) ≤ relΔ(H) always holds in such trees, except for certain atypically large schemas. Thus, the more compact are our tree-structured chromo-somes, the better we can expect our genetic algorithms to work.

References

  1. Goldberg, David E. (1989). Genetic Algorithms in Search, Optimization, and Machine Learning. Addison-Wesley Publishing, Reading, MA. Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. Greene, William A. (2000). "A Non-Linear Schema Theorem for Genetic Algorithms," in Whitley, D. et al. (Eds.) Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2000), pages 189--194. Morgan Kaufmann Publishers, San Francisco, CA.Google ScholarGoogle Scholar
  3. Greene, William A. (2004) "Schema Disruption in Chromosomes that are Structured as Binary Trees", in K. Deb et al. (eds.), Proceedings of the Genetic and Evolutionary Computation Congress, June 26-30, 2004, Seattle, WA (pages 1197--1207). Springer Verlag LNCS 3102, New York, NY.Google ScholarGoogle Scholar
  4. Holland, John (1975). Adaptation in Natural and Artificial Systems. University of Michigan Press, Ann Arbor, MI. Google ScholarGoogle ScholarDigital LibraryDigital Library
  5. Koza, John R. (1992). Genetic Programming: On the Programming of Computers by Natural Selection. MIT Press, Cambridge, MA Google ScholarGoogle ScholarDigital LibraryDigital Library
  6. O'Reilly, Una-May (1995). An Analysis of Genetic Programming. PhD thesis, Carleton University, Ottawa-Carleton Institute for Computer Science, Ottawa, Ontario, Canada, 22 September 1995. Google ScholarGoogle ScholarDigital LibraryDigital Library
  7. O'Reilly, Una-May, and Franz Oppacher (1995). "The Troubling Aspects of a Building Block Hypothesis for Genetic Programming", in Whitley, D. and Vose, M. D. (eds.) Foundations of Genetic Algorithms 3. Morgan Kaufmann Publishers, San Francisco.Google ScholarGoogle Scholar
  8. Poli, Riccardo, and William Langdon (1998). "Schema Theory for Genetic Programming with One-Point Crossover and Point Mutation". Evolutionary Computation 6(3), pages 231--252. MIT Press, Cambridge, MA. Google ScholarGoogle ScholarDigital LibraryDigital Library
  9. Rosca, Justinian P. (1997). "Analysis of Complexity Drift in Genetic Programming", in Koza, John R. et al. (eds) Genetic Programming 1997: Proceedings of the Second Annual Conference (pages 286--294). Morgan Kaufmann Publishers, San Francisco, CA.Google ScholarGoogle Scholar
  10. Whigham, Peter A. (1995) "A Schema Theorem for Context-Free Grammars", in 1995 IEEE Conference on Evolutionary Computation, Vol 1, pages 178--181. IEEE Press.Google ScholarGoogle ScholarCross RefCross Ref

Index Terms

  1. Schema disruption in tree-structured chromosomes

      Recommendations

      Comments

      Login options

      Check if you have access through your login credentials or your institution to get full access on this article.

      Sign in
      • Published in

        cover image ACM Conferences
        GECCO '05: Proceedings of the 7th annual conference on Genetic and evolutionary computation
        June 2005
        2272 pages
        ISBN:1595930108
        DOI:10.1145/1068009

        Copyright © 2005 ACM

        Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

        Publisher

        Association for Computing Machinery

        New York, NY, United States

        Publication History

        • Published: 25 June 2005

        Permissions

        Request permissions about this article.

        Request Permissions

        Check for updates

        Qualifiers

        • Article

        Acceptance Rates

        Overall Acceptance Rate1,669of4,410submissions,38%

        Upcoming Conference

        GECCO '24
        Genetic and Evolutionary Computation Conference
        July 14 - 18, 2024
        Melbourne , VIC , Australia

      PDF Format

      View or Download as a PDF file.

      PDF

      eReader

      View online with eReader.

      eReader