computeDistanceFromPointToSetOfPoints

Helper to compute distance between a single point and a point set.

Framework for building evolutionary algorithms for both single- and multi-objective continuous or discrete optimization problems. A set of predefined evolutionary building blocks and operators is included. Moreover, the user can easily set up custom objective functions, operators, building blocks and representations sticking to few conventions. The package allows both a black-box approach for standard tasks (plug-and-play style) and a much more flexible white-box approach where the evolutionary cycle is written by hand.

Jakob Bossek

Evolutionary Computation in R

Michael H. Buselli

Wessel Dankers

Carlos M. Fonseca

Manuel Lopez-Ibanez

Luis Paquete

Joshua Knowles

Eckart Zitzler

Olaf Mersmann

computeDistanceFromPointToSetOfPoints function

<dl><dt>a</dt>
<dd>[<code>numeric(1)</code>] 
Point given as a numeric vector.</dd>
<dt>B</dt>
<dd>[<code>matrix</code>] 
Point set (each column corresponds to a point).</dd>
<dt>dist.fun</dt>
<dd>[<code>matrix</code>] 
Distance function to compute distance between points x and y. Expects a single
numeric vector d with the coordinate-wise differences di = (xi - yi).
Default is <code>computeEuclideanDist</code>.</dd></dl>

Arguments

Computes distance between a single point and set of points. — computeDistanceFromPointToSetOfPoints

<dl>

<dt>a</dt>
<dd>[<code>numeric(1)</code>] 
Point given as a numeric vector.</dd>


<dt>B</dt>
<dd>[<code>matrix</code>] 
Point set (each column corresponds to a point).</dd>


<dt>dist.fun</dt>
<dd>[<code>matrix</code>] 
Distance function to compute distance between points x and y. Expects a single
numeric vector d with the coordinate-wise differences di = (xi - yi).
Default is <code>computeEuclideanDist</code>.</dd>

</dl>

computeDistanceFromPointToSetOfPoints: Computes distance between a single point and set of points.

Description

Usage

Value

Arguments