dominate: Successive Pareto fronts of a population
In caRamel: Automatic Calibration by Evolutionary Multi Objective Algorithm
dominate R Documentation
Successive Pareto fronts of a population
Description
calculates the successive Pareto fronts of a population (classification "onion peel"), when objectives need to be maximized.
Usage
dominate(matobj)
Arguments
matobj
: matrix [ NInd , NObj ] of objectives
Value
f : vector of dimension NInd of dominances
Author(s)
Alban de Lavenne, Fabrice Zaoui
Examples
# Definition of the parameters
matobj <- matrix(runif(200), 100, 2)
# Call the function
pareto_rank <- dominate(matobj)
caRamel documentation built on Sept. 11, 2024, 7:01 p.m.
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| dominate | R Documentation |
Successive Pareto fronts of a population
Description
calculates the successive Pareto fronts of a population (classification "onion peel"), when objectives need to be maximized.
Usage
dominate(matobj)
Arguments
matobj |
: matrix [ NInd , NObj ] of objectives |
Value
f : vector of dimension NInd of dominances
Author(s)
Alban de Lavenne, Fabrice Zaoui
Examples
# Definition of the parameters
matobj <- matrix(runif(200), 100, 2)
# Call the function
pareto_rank <- dominate(matobj)
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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