Item Details

Algebraic, Geometric, and Stochastic Aspects of Genetic Operators

by N.Y. Foo and J.L. Bosworth
Format
Book; Government Document; Online; EBook
Published
Washington, D.C. : National Aeronautics and Space Administration ; Springfield, Va. : For sale by the National Technical Information Service [distributor], 1972.
Language
English
Series
NASA Contractor Report
Summary
Genetic algorithms for function optimization employ genetic operators patterned after those observed in search strategies employed in natural adaptation. Two of these operators, crossover and inversion, are interpreted in terms of their algebraic and geometric properties. Stochastic models of the operators are developed which are employed in Monte Carlo simulations of their behavior.
Description
60 p. : ill. ; 27 cm.
Mode of access: Internet.
Notes
  • "NASA CR-2099."
  • Performing organization report no.: 003120-1-T.
  • "August 1972."
  • Cover title.
Series Statement
NASA contractor report ; NASA CR-2099
Other Forms
Also available via Internet from the NASA Technical Reports Server (http://ntrs.nasa.gov/). Address as of 6/22/06: http://ntrs.nasa.gov/archive/nasa/casi.ntrs.nasa.gov/19720022877%5f1972022877.pdf.
Logo for No Copyright - United StatesNo Copyright - United States
Technical Details

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    a| Foo, N. Y. q| (Norman Y.)
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    a| Algebraic, geometric, and stochastic aspects of genetic operators / c| by N.Y. Foo and J.L. Bosworth.
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    a| Washington, D.C. : b| National Aeronautics and Space Administration ; a| Springfield, Va. : b| For sale by the National Technical Information Service [distributor], c| 1972.
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    a| 60 p. : b| ill. ; c| 27 cm.
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    a| NASA contractor report ; v| NASA CR-2099
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    a| "NASA CR-2099."
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    a| Performing organization report no.: 003120-1-T.
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    a| "August 1972."
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    a| Cover title.
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    a| Genetic algorithms for function optimization employ genetic operators patterned after those observed in search strategies employed in natural adaptation. Two of these operators, crossover and inversion, are interpreted in terms of their algebraic and geometric properties. Stochastic models of the operators are developed which are employed in Monte Carlo simulations of their behavior.
    530
      
      
    a| Also available via Internet from the NASA Technical Reports Server (http://ntrs.nasa.gov/). Address as of 6/22/06: http://ntrs.nasa.gov/archive/nasa/casi.ntrs.nasa.gov/19720022877%5f1972022877.pdf.
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    a| Prepared by the University of Michigan, Ann Arbor, Mich. for Langley Research Center c| NGR-23-005-047
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    a| Mode of access: Internet.
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    a| Programming (Mathematics)
    650
      
    0
    a| Mathematical optimization.
    650
      
    7
    a| Number theory. 2| nasat
    650
      
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    a| Mathematical logic. 2| nasat
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    a| Genetic algorithms. 2| nasat
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    a| Crossovers. 2| nasat
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    a| Conversion. 2| nasat
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    7
    a| Computer programming. 2| nasat
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    7
    a| Optimization. 2| nasat
    650
      
    7
    a| Operators (mathematics). 2| nasat
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    7
    a| Functions (mathematics). 2| nasat
    650
      
    7
    a| Algorithms. 2| nasat
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    1
      
    a| Bosworth, Jack.
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    a| Langley Research Center.
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    a| University of Michigan.
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    b| UIU c| UIUC d| 20141113 s| google u| uiug.30112106860163 y| 1972 r| pd q| bib

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