Solving the ocean color problem using a genetic programming approach

Created by W.Langdon from gp-bibliography.bib Revision:1.3872

@Article{fonlupt:2001:ASC,
  author =       "C. Fonlupt",
  title =        "Solving the ocean color problem using a genetic
                 programming approach",
  journal =      "Applied Soft Computing",
  year =         "2001",
  volume =       "1",
  number =       "1",
  pages =        "63--72",
  month =        jun,
  keywords =     "genetic algorithms, genetic programming, Ocean colour
                 problem, Phytoplankton",
  URL =          "http://www.sciencedirect.com/science/article/B6W86-43S6W98-6/2/ed66cf73aec7cb186639405e4a8801bb",
  DOI =          "doi:10.1016/S1568-4946(01)00007-2",
  abstract =     "The ocean color problem consists in evaluating ocean
                 components concentrations (phytoplankton, sediment and
                 yellow substance) from sunlight reflectance or
                 luminance values at selected wavelengths in the visible
                 band. The interest of this application increases with
                 the availability of new satellite sensors. Moreover,
                 monitoring phytoplankton concentrations is a key point
                 for a wide set of problems ranging from greenhouse
                 effect to industrial fishing and signaling toxic algae
                 blooms. To our knowledge, it is the first attempt at
                 this regression problem with genetic programming (GP).
                 We show that GP outperforms traditional polynomial fits
                 and rivals artificial neural nets in the case of open
                 ocean waters. We improve previous works by also solving
                 a range of coastal waters types, providing detailed
                 results on estimation errors. To our knowledge, we are
                 the firsts to publish numerical results regarding
                 coastal waters. Experiments were conducted with a
                 dynamic fitness GP algorithm in order to speed up
                 computing time through a process of progressive
                 learning.",
}

Genetic Programming entries for Cyril Fonlupt

Citations