Red Teaming with Coevolution

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@InProceedings{Hingston:2011:RTwC,
  title =        "Red Teaming with Coevolution",
  author =       "Philip Hingston and Mike Preuss",
  pages =        "1155--1163",
  booktitle =    "Proceedings of the 2011 IEEE Congress on Evolutionary
                 Computation",
  year =         "2011",
  editor =       "Alice E. Smith",
  month =        "5-8 " # jun,
  address =      "New Orleans, USA",
  organization = "IEEE Computational Intelligence Society",
  publisher =    "IEEE Press",
  ISBN =         "0-7803-8515-2",
  keywords =     "genetic algorithms, genetic programming,
                 Coevolutionary systems, Evolutionary simulation-based
                 optimization, Real-world applications",
  DOI =          "doi:10.1109/CEC.2011.5949747",
  abstract =     "In this paper we present a coevolutionary algorithm
                 designed to be used as a computational tool to assist
                 in red teaming studies. In these applications, analysts
                 seek to understand the strategic and tactical options
                 available to each side in a conflict situation.
                 Combining scenario simulations with a coevolutionary
                 search of parameter space is an approach that has many
                 attractions. We argue that red teaming applications are
                 sufficiently different from many others where
                 coevolution is used so that specially designed
                 algorithms can bring advantages. We illustrate by
                 presenting a new algorithm that simultaneously evolves
                 strong strategies along with dangerous
                 counter-strategies. We test the new algorithm on two
                 example problems: an abstract problem with some
                 difficult characteristics; and a practical red teaming
                 scenario. Experiments show that the new algorithm is
                 able to solve the abstract problem well, and that it is
                 able to provide useful insights on the red teaming
                 scenario.",
  notes =        "CEC2011 sponsored by the IEEE Computational
                 Intelligence Society, and previously sponsored by the
                 EPS and the IET.",
}

Genetic Programming entries for Philip Hingston Mike Preuss

Citations