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Why your mates shouldn't date

Published:07 July 2007Publication History

ABSTRACT

The structural characteristics of an inter-individual interaction topology have a large impact on the flow of genetic information throughout an evolving population. In this study, we systematically investigate the relationship between clustering in the network of observed mating events and the evolutionary dynamics of a panmictic genetic algorithm. This is achieved through the introduction of a new selection mechanism, which allows for a tunable degree of clustering in the emergent mating topology.

References

  1. Payne, J.L., & Eppstein, M.J. Emergent mating topologies in spatially structured genetic algorithms. In Proc. Genetic and Evolutionary Computation Conference. ACM Press, New York, N.Y., 2006, 207--214. Google ScholarGoogle ScholarDigital LibraryDigital Library

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    • Published in

      cover image ACM Conferences
      GECCO '07: Proceedings of the 9th annual conference on Genetic and evolutionary computation
      July 2007
      2313 pages
      ISBN:9781595936974
      DOI:10.1145/1276958

      Copyright © 2007 author

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      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 7 July 2007

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      GECCO '07 Paper Acceptance Rate266of577submissions,46%Overall Acceptance Rate1,669of4,410submissions,38%

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