computeCrowdingDistance

[<code>matrix</code>]
Numeric matrix with each column representing a point.


The crowding distance is a measure of spread of solutions in the
approximation of the Pareto front. It is used, e.g., in the NSGA-II algorithm
as a second selection criterion.


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.

computeCrowdingDistance: Compute the crowding distance of a set of points.

Description

Usage

Arguments

Value

References