Finding:

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   Gaussian adaptation

   Gaussian adaptation (GA) is an evolutionary algorithm designed for the maximization of manufacturing yield due to statistical deviation of component values of signal processing systems.
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   Genetic algorithm

   Gaussian adaptation (normal or natural adaptation, abbreviated NA to avoid confusion with GA) is intended for the maximisation of manufacturing yield of signal processing systems.
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   List of numerical analysis topics

   Gaussian adaptation
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   Entropy in thermodynamics and information theory

   This is illustrated by the figure below, showing Gaussian adaptation climbing a mountain crest in a phenotypic landscape.
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   Evolutionary algorithm

   Gaussian adaptation - Based on information theory.
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   Fitness (biology)

   In the case N is a Gaussian it is fairly easily proved that the average information (information entropy, disorder, diversity) of a large population may be maximized by Gaussian adaptation - keeping the mean fitness constant - in accordance with recapitulation, the central limit theorem, the Hardy-Weinberg law and the second law of thermodynamics.
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   Differential evolution

   Gaussian adaptation
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   Gaussian function

   Two-dimensional Gaussian function ... Such functions are often used in image processing and in computational models of visual system function -- see the articles on scale space and affine shape adaptation.
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   Gaussian beam

   Non-Gaussian beams also exhibit this effect, but a Gaussian beam is a special case where the product of width and divergence is the smallest possible.
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    Gaussian integer

    The following elaborates on these conditions. ... The real and imaginary axes have the infinite set of Gaussian primes 3, 7, 11, 19, ... and their associates.

Explore the following pages on Powerset:

• Gaussian adaptation,
• Genetic algorithm,
• List of numerical analysis topics,
• Entropy in thermodynamics and information theory,
• Evolutionary algorithm,
• Fitness (biology),
• Differential evolution,
• Gaussian function,
• Gaussian beam,
• Gaussian integer