- 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.{"}",
