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Multi-objective diversity maintenance

Published:08 July 2006Publication History

ABSTRACT

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References

  1. De Jong, E. D., & Pollack, J. B. (2003). Multi-objective methods for tree size control. Genetic Programming and Evolvable Machines 4 3), 211--233.]] Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. De Jong, E. D., Watson, R. A., & Pollack, J. B. (2001). Reducing bloat and promoting diversity using multi-objective methods. In L. Spector et al. (Ed. ), Proceedings of the Genetic and Evolutionary Computation Conference, GECCO-01 pp. 11--18, San Francisco, CA. Morgan Kaufmann.]]Google ScholarGoogle Scholar
  3. De Jong, K. A. (1975). An Analysis of the Behavior of a Class of Genetic Adaptive Systems Ph. D. thesis, University of Michigan.]] Google ScholarGoogle ScholarDigital LibraryDigital Library
  4. Goldberg, D. E., & Richardson, J. (1987). Genetic algorithms wit sharing for multimodal function optimization. In Grefenstette, J. J. (Ed. ), Genetic algorithms and their applications: Proc. of the second Int. Conf. on Genetic Algorithms pp. 41--49, Hillsdale, NJ. Lawrence Erlbaum Associates.]] Google ScholarGoogle ScholarDigital LibraryDigital Library
  5. Holland, J. H. (1975). Adaptation in Natural and Artifical Systems University of Michigan Press, Ann Arbor, MI.]] Google ScholarGoogle ScholarDigital LibraryDigital Library
  6. Hutter, M. (2002). Fitness uniform selection to preserve genetic diversity. In Proceedings of the 2002 Congress on Evolutionary Computation (CEC-2002), pp. 783--788.]]Google ScholarGoogle ScholarCross RefCross Ref
  7. Soule, T. (1998). Code Growth in Genetic Programming Ph. D. thesis, University of Idaho.]] Google ScholarGoogle ScholarDigital LibraryDigital Library
  8. Toffolo, A., & Benini, E. (2003). Genetic diversity as an objective in multi-objective evolutionary algorithms. Evolutionary Computation 11 (2).]] Google ScholarGoogle ScholarDigital LibraryDigital Library
  9. Yuan, B., & Gallagher, M. (2005). On the importance of diversity maintenance in estimation of distribution algorithms. In Proceedings of the 2005 conference on Genetic and evolutionary computation pp. 719--726.]] Google ScholarGoogle ScholarDigital LibraryDigital Library
  10. Zar, J. (1999). Biostatistical Analysis (4 edition). Prentice Hall, New Jersey.]] Google ScholarGoogle ScholarDigital LibraryDigital Library

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  1. Multi-objective diversity maintenance

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    • Published in

      cover image ACM Conferences
      GECCO '06: Proceedings of the 8th annual conference on Genetic and evolutionary computation
      July 2006
      2004 pages
      ISBN:1595931864
      DOI:10.1145/1143997

      Copyright © 2006 ACM

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      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 8 July 2006

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      GECCO '06 Paper Acceptance Rate205of446submissions,46%Overall Acceptance Rate1,669of4,410submissions,38%

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