Micro Genetic Algorithms in Finding the Optimal Frequency for Stabilizing Atoms by High-intensity Laser Fields

Created by W.Langdon from gp-bibliography.bib Revision:1.3973

@InProceedings{barash:1998:mGAofsalf,
  author =       "Danny Barash and Ann Orel and V. Rao Vemuri",
  title =        "Micro Genetic Algorithms in Finding the Optimal
                 Frequency for Stabilizing Atoms by High-intensity Laser
                 Fields",
  booktitle =    "Late Breaking Papers at the Genetic Programming 1998
                 Conference",
  year =         "1998",
  editor =       "John R. Koza",
  pages =        "7--13",
  address =      "University of Wisconsin, Madison, Wisconsin, USA",
  publisher_address = "Stanford, CA, USA",
  month =        "22-25 " # jul,
  publisher =    "Stanford University Bookstore",
  keywords =     "genetic algorithms, genetic programming",
  URL =          "http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.52.1378",
  URL =          "http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.52.1378.pdf",
  size =         "7 pages",
  abstract =     "The goal of this paper is to explore the power of
                 genetic algorithms, in particular the so called micro
                 genetic algorithms, to solve a challenging problem in
                 experimental physics. The problem is to find an optimum
                 frequency to stabilise atoms by high-intensity laser
                 fields. The standard approach to search for optimal
                 laser parameters has been by trial and error. This is
                 the first known application of a genetic algorithm
                 technique to model atomic stabilisation. The micro
                 genetic algorithm worked exceptionally well for this
                 problem as a way to automate the search in a time
                 efficient manner. A parallel platform is used to
                 perform the genetic search efficiently. Locating the
                 best frequency to achieve a suppression of ionization,
                 which is predicted to occur at high intensities, can
                 help design a laboratory experiment and tune to that
                 frequency in order to identify a stabilization effect.
                 The micro genetic algorithm did successfully identify
                 this optimum frequency. It is indeed possible to
                 ex...",
  notes =        "GP-98LB",
}

Genetic Programming entries for Danny Barash Ann Orel V Rao Vemuri

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