Using Cultural Algorithms to Evolve Strategies for Recessionary Markets

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  title =        "Using Cultural Algorithms to Evolve Strategies for
                 Recessionary Markets",
  author =       "David A. Ostrowski and Robert G. Reynolds",
  pages =        "1780--1785",
  booktitle =    "Proceedings of the 2004 IEEE Congress on Evolutionary
  year =         "2004",
  publisher =    "IEEE Press",
  month =        "20-23 " # jun,
  address =      "Portland, Oregon",
  volume =       "2",
  keywords =     "genetic algorithms, genetic programming, Applications
                 of Cultural Algorithms in Industry and Engineering",
  ISBN =         "0-7803-8515-2",
  DOI =          "doi:10.1109/CEC.2004.1331111",
  abstract =     "Cultural Algorithms are computational self-adaptive
                 models consisting of a population and a belief space.
                 Two Cultural Algorithms are applied, with one
                 supporting white box testing and the second black box
                 testing. The two populations communicate with each
                 other by means of a shared belief space. This is
                 applied to the calibration of a multi-agent system by
                 allowing for evolution of near optimal parameters. The
                 Cultural approach is employed to abstract coefficients
                 of pricing strategies that are applied to a complex
                 model of durable goods. This model simulates consumer
                 behaviors as applied in the context of economic
  notes =        "CEC 2004 - A joint meeting of the IEEE, the EPS, and
                 the IEE.

                 Ford Motor Company, Business Science Group, Research
                 and Advanced Engineering, Dearbom Michigan 48121",

Genetic Programming entries for David A Ostrowski Robert G Reynolds