wfgTrafos: WFG Transformations
In tudob/wfg: WFG toolkit implementation package

tNone is a transformation that changes nothing. It is used to move the entries cursor along to change later entries.
tPoly is the polynomial bias transformation.
tFlat creates a region in search space in which all points have the same objective values.
tParam is the parameter-dependent transformation.
tLinear creates a linear shift of the true optimum.
tDecept creates regions in the search space that have a sub-optimal value but larger area.
tMulti creates many local optima.
tSum creates a dependence between different search-space entries.
tNonsep creates a dependence between objectives.

wfgTrafos()

tNone(y)

tPoly(y, alpha = 0.02)

tFlat(y, value = 0.8, from = 0.75, to = 0.85)

tParam(y, y.prime = NA, factor = 0.98/49.98, starter = 0.02, ender = 50)

tLinear(y, zero.loc = 0.35)

tDecept(y, opti.loc = 0.35, aperture = 0.001, deceptive.value = 0.05)

tMulti(y, num.minima = 30, hill.size = 95, opti.loc = 0.35)

tSum(y, i, k, M, from = NA, to = NA, weights = NA)

tNonsep(y, degree = NA)

`y`	The value of the search space entry to which to apply this to.
`alpha`	tPoly: alpha>1 biases toward 0, <1 biases toward 1.
`value`	tFlat: The value of the flat region. The adjacent regions interpolate to this value.
`from`	tFlat: The region of the search space that is flat, same for every dimension. tSum: The entries which are made dependent on eachother
`to`	see from
`y.prime`	tParam: Is set by the system, it does not occur in the parameters the user writes in the specification
`factor`	tParam: Determines the slope of the ramp.
`starter`	tParam: The influence region.
`ender`	see starter
`zero.loc`	tLinear: The location of the true optimum.
`opti.loc`	tDecept and tMulti: The location of the true optimum.
`aperture`	tDecept: The size of the opening around the true optimum.
`deceptive.value`	tDecept: The value of the sub-optimal areas.
`num.minima`	tMulti: The number of the local optima.
`hill.size`	tMulti: The size of the hills between the local optima.
`i`	tSum: i, k, M are set by the system, they do not occur in the parameters the user writes in the specification
`k`	see i
`M`	see i
`weights`	tSum: Optional for the weighted sum.
`degree`	tNonsep: Degree of nonseparability.