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:1.8098
- @InProceedings{barash:1998:mGAofsalf,
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author = "Danny Barash and Ann Orel and V. Rao Vemuri",
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title = "Micro Genetic Algorithms in Finding the Optimal
Frequency for Stabilizing Atoms by High-intensity Laser
Fields",
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booktitle = "Late Breaking Papers at the Genetic Programming 1998
Conference",
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year = "1998",
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editor = "John R. Koza",
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pages = "7--13",
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address = "University of Wisconsin, Madison, Wisconsin, USA",
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publisher_address = "Stanford, CA, USA",
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month = "22-25 " # jul,
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publisher = "Stanford University Bookstore",
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keywords = "genetic algorithms, genetic programming",
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URL = "http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.52.1378",
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URL = "http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.52.1378.pdf",
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size = "7 pages",
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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...",
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notes = "GP-98LB",
- }
Genetic Programming entries for
Danny Barash
Ann Orel
V Rao Vemuri
Citations