Model building, surrogate model
based optimization and Efficient Global Optimization in combinatorial
or mixed search spaces.

Combinatorial Efficient Global Optimization

package-ubuntu-20.04-r-4.0.5#cran#CEGO-2.4.0

The Euclidean distance for real vectors.

<table summary="R argblock">
<tr valign="top">
<td><code>x</code></td>
<td>
first real vector
</td>
</tr>
<tr valign="top">
<td><code>y</code></td>
<td>
second real vector
</td>
</tr>
</table>

d(x,y)

x <- runif(5)
y <- runif(5)
distanceRealEuclidean(x,y)

package-ubuntu-20.04-r-4.0.5#cran#CEGO-2.4.0#docs#distanceRealEuclidean

distanceRealEuclidean

Description

Usage

Arguments

Value

Examples

CEGO

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