Evolutionary Computing for Detection of Retentive Structures in Coastal Waters

Created by W.Langdon from gp-bibliography.bib Revision:1.4192

  author =       "Marc Segond and Denis Robilliard and 
                 Virginie Marion-Poty and Cyril Fonlupt",
  title =        "Evolutionary Computing for Detection of Retentive
                 Structures in Coastal Waters",
  journal =      "Journal of Software",
  volume =       "1",
  number =       "3",
  year =         "2006",
  pages =        "14--23",
  keywords =     "genetic algorithms, genetic programming",
  ISSN =         "1796-217X",
  URL =          "http://www.academypublisher.com/jsw/vol01/no03/jsw01031423.html",
  URL =          "http://www.academypublisher.com/jsw/vol01/no03/jsw01031423.pdf",
  URL =          "http://citeseerx.ist.psu.edu/viewdoc/summary?doi=",
  URL =          "http://www-lil.univ-littoral.fr/~robillia/Publis/06_ECRetentiveStructures.pdf",
  bibsource =    "DBLP, http://dblp.uni-trier.de",
  bibsource =    "OAI-PMH server at citeseerx.ist.psu.edu",
  contributor =  "CiteSeerX",
  language =     "en",
  oai =          "oai:CiteSeerXPSU:",
  abstract =     "The demography of anchovy fishes in the Bay of Biscay
                 seems to be related to the presence of so-called
                 retentive hydrodynamical structures, that keep fish
                 eggs and larvae in a favorable environment. To verify
                 this hypothesis, an automatic detection tool is needed
                 to process a database of thousands of hydrodynamical
                 maps to be compared with biologists observations and
                 fisheries statistics. The results could be used to
                 decide fishing quotas or bans for the sake of
                 preserving the natural resource. We propose two
                 evolutionary schemes, one based on ant systems, the
                 other on induction of genetic programming filters, in
                 order to automatically detect these retentive
                 structures. Our heuristics are shown to be competitive
                 with human experts and are compared to other detection

Genetic Programming entries for Marc Segond Denis Robilliard Virginie Marion-Poty Cyril Fonlupt