computeCrowdingDistance: Compute the crowding distance of a set of points.
In jakobbossek/ecr: Evolutionary Computing in R
Description
Usage
Arguments
Value
References
Description
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.
Usage
1
Arguments
x
[matrix]
Numeric matrix with each column representing a point.
Value
[numeric] Vector of crowding distance values.
References
K. Deb, A. Pratap, S. Agarwal, T. Meyarivan, A fast and elitist
multiobjective genetic algorithm: NSGA-II, IEEE Transactions on Evolutionary
Computation In Evolutionary Computation, IEEE Transactions on, Vol. 6, No. 2.
(07 April 2002), pp. 182-197, doi:10.1109/4235.996017
jakobbossek/ecr documentation built on May 18, 2019, 9:09 a.m.
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Description Usage Arguments Value References
Description
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.
Usage
1 |
Arguments
x |
[ |
Value
[numeric] Vector of crowding distance values.
References
K. Deb, A. Pratap, S. Agarwal, T. Meyarivan, A fast and elitist multiobjective genetic algorithm: NSGA-II, IEEE Transactions on Evolutionary Computation In Evolutionary Computation, IEEE Transactions on, Vol. 6, No. 2. (07 April 2002), pp. 182-197, doi:10.1109/4235.996017
R Package Documentation
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Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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