Using Genetic Algorithms to Estimate and Validate Bioeconomic Models: The Case of the Ibero-atlantic Sardine Fishery

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@Article{Alvarez-Diaz:2006:jbe,
  author =       "Marcos Alvarez-Diaz and Marcos Dominquez-Torreiro",
  title =        "Using Genetic Algorithms to Estimate and Validate
                 Bioeconomic Models: The Case of the Ibero-atlantic
                 Sardine Fishery",
  journal =      "Journal of Bioeconomics",
  year =         "2006",
  volume =       "8",
  number =       "1",
  pages =        "55--65",
  month =        apr,
  keywords =     "genetic algorithms, genetic programming, bioeconomic
                 modeling, linear and non-linear forecasting",
  ISSN =         "1387-6996",
  DOI =          "doi:10.1007/s10818-005-0494-x",
  abstract =     "The Neo-classical approach to fisheries management is
                 based on designing and applying bioeconomic models.
                 Traditionally, the basic bioeconomic models have used
                 pre-established non-linear functional forms (logistic,
                 Cobb-Douglas) in order to try to reflect the dynamics
                 of the renewable resources under study. This assumption
                 might cause misspecification problems and, in
                 consequence, a loss of predictive ability. In this work
                 we intend to verify if there is a bias motivated by
                 employing the said non-linear parametric perspective.
                 For this purpose, we employ a novel non-linear and
                 non-parametric prediction method, called Genetic
                 Algorithms, and we compare its results with those
                 obtained from the traditional methods.",
  notes =        "

                 p 64 {"}Unlike a uni-variant analysis, DARWIN now
                 allows us to look for functional relationships between
                 two or more time-series.{"}",
}

Genetic Programming entries for Marcos Alvarez-Diaz Marcos Dominquez-Torreiro

Citations