• DocumentCode
    326170
  • Title

    Genetic algorithm method for determining temperature profiles

  • Author

    Buczak, Anna L. ; Barrett, J.J.

  • Author_Institution
    Allied-Signal Inc., Morristown, NJ, USA
  • fYear
    1998
  • fDate
    4-9 May 1998
  • Firstpage
    142
  • Lastpage
    147
  • Abstract
    A genetic algorithm is used to determine atmospheric temperature profiles from infrared observations of ambient carbon dioxide gas in the atmosphere. The observation range is divided into four range bins and the goal is to predict with reasonable accuracy the temperature in each range bin. An overdetermined system of equations corrupted by measurement noise describes the horizontal temperature profile. The use of a classical linear least squares fit to solve the equations results in predicted temperature errors over 30 K for small amounts of measurement noise. To overcome this problem, a genetic algorithm was developed using fitness function correction terms based on the authors´ experience with the atmospheric temperature profiles and it was tested on a simulated data system. Excellent results were obtained demonstrating the usefulness of the genetic algorithm approach for solving this type of problems
  • Keywords
    atmospheric temperature; genetic algorithms; geophysics computing; least squares approximations; noise; radiometry; 30 K; CO2; ambient CO2 gas; atmospheric temperature profile determination; classical linear least squares fit; fitness function correction terms; genetic algorithm; horizontal temperature profile; infrared observations; measurement noise; simulated data system; Accuracy; Atmosphere; Atmospheric measurements; Carbon dioxide; Equations; Genetic algorithms; Least squares methods; Noise measurement; System testing; Temperature distribution;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Evolutionary Computation Proceedings, 1998. IEEE World Congress on Computational Intelligence., The 1998 IEEE International Conference on
  • Conference_Location
    Anchorage, AK
  • Print_ISBN
    0-7803-4869-9
  • Type

    conf

  • DOI
    10.1109/ICEC.1998.699491
  • Filename
    699491