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Variance scaling for EDAs revisited
Oliver Kramer
*
,
Fabian Gieseke
*
Corresponding author for this work
2
Citations (Scopus)
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Dive into the research topics of 'Variance scaling for EDAs revisited'. Together they form a unique fingerprint.
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Keyphrases
Variance Scaling
100%
Estimation of Distribution Algorithm
100%
Gaussian Estimation of Distribution Algorithm
66%
Sphere Function
33%
Derivative-free Optimization
33%
Adaptation Techniques
33%
Successive Estimation
33%
Agricultural and Biological Sciences
Selection Pressure
100%
Population Size
100%
Medicine and Dentistry
Heuristics
100%
Population Size
100%
Engineering
Silverman
50%
Rule of Thumb
50%
Numerical Optimization
50%
Mathematics
Probability Density Function
25%