computeAverageHausdorffDistance

[<code>matrix</code>]
First point set (each column corresponds to a point).

[<code>matrix</code>]
Second point set (each column corresponds to a point).

[<code>numeric(1)</code>]
Parameter p of the average Hausdoff metrix. Default is 1. See the description
for details.

[<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>.

dist.fun


Computes the average Hausdroff distance measure between two point sets.


Provides a powerful framework for evolutionary
computing in R. The user can easily construct powerful evolutionary algorithms
for tackling both single- and multi-objective problems by plugging in different
predefined evolutionary building blocks, e. g., operators for mutation,
recombination and selection with just a few lines of code. Your problem
cannot be easily solved with a standard EA which works on real-valued vectors,
permutations or binary strings? No problem, 'ecr' has been developed with that in
mind. Extending the framework with own operators is also possible. Additionally
there are various comfort functions, like monitoring, logging and more.

computeAverageHausdorffDistance: Average Hausdorff Distance computation.

Description

Usage

Arguments

Value