Simple wrapper for function which compute
performance indicators for multi-objective stochastic algorithm.
Basically this function appends some meta information to the
passed function fun.
makeEMOAIndicator(fun, minimize, name, latex.name)[function(points, ...)] Argument fun with all other
arguments appended.
[function(points, ...)]
Function which expects a numeric matrix “points” as first argument.
Optional named arguments (often “ref.point” for a reference
point or “ref.points” for a reference set, e.g., the true Pareto-front)
are allowed. See implementations of existing indicators for examples.
[logical(1)]
Lower values indicate better performance?
[character(1)]
Short name of the indicator. Used, e.g., as column name for the indicator
in the data.frame returned by computeIndicators.
[character(1)]
LaTeX representation of the indicator. Used in LaTeX-table output statistical
tests (see toLatex).
Other EMOA performance assessment tools:
approximateNadirPoint(),
approximateRefPoints(),
approximateRefSets(),
computeDominanceRanking(),
emoaIndEps(),
niceCellFormater(),
normalize(),
plotDistribution(),
plotFront(),
plotScatter2d(),
plotScatter3d(),
toLatex()