approximateRefPoints: Helper function to estimate reference points.

In ecr: Evolutionary Computation in R

Helper function to estimate reference points.

Description

E.g., for calculation of dominated hypervolume.

Usage

approximateRefPoints(df, obj.cols = c("f1", "f2"), offset = 0, as.df = FALSE)

Arguments

df	[data.frame] Data frame with the required structure, i.e. the data frame must contain a problem column "prob" as well as objective column(s).
obj.cols	[character(>= 2)] Column names of the objective functions. Default is c("f1", "f2"), i.e., the bi-objective case is assumed.
offset	[numeric(1)] Offset added to reference points. Default is 0.
as.df	[logical(1)] Should a data.frame be returned? Default is FALSE. In this case a named list is returned.

Value

[list | data.frame]

See Also

Other EMOA performance assessment tools: approximateNadirPoint(), approximateRefSets(), computeDominanceRanking(), emoaIndEps(), makeEMOAIndicator(), niceCellFormater(), normalize(), plotDistribution(), plotFront(), plotScatter2d(), plotScatter3d(), toLatex()

ecr documentation built on March 31, 2023, 10:07 p.m.