WFGShapes: WFG Shapes
In danielhorn/moobench: Multi Objective Optimization Benchmark Functions

Description Usage Arguments Value

wfgShapeLinear is the linear pareto front.
wfgShapeConvex is the convex pareto front.
wfgShapeConcave is the concave pareto front.
wfgShapeMixed is a shape of the pareto front that has some convex and concave parts.
wfgShapeDisconnected is a shape of the pareto front that is not continuous.

wfgShapeLinear(dim, out.dim)

wfgShapeConvex(dim, out.dim)

wfgShapeConcave(dim, out.dim)

wfgShapeMixed(dim, out.dim, alpha, A)

wfgShapeDisconnected(dim, out.dim, alpha, beta, A)

`dim`	[`integer(1)`] Most shape function differ in the first (dim = 1), the last (dim = out.dim) and the remainingout dimension. Indicates for which function the shape function shall be returned.
`out.dim`	[`integer(1)`] Size of target space.
`alpha`	[`numeric(1)`] Must be > 0. The overall form of the pareto front, if alpha > 1 then it is more convex, if alpha < 1 then more concave. When alpha = 1 the overall shape is linear.
`A`	[`integer(1)`] Number of parts of the pareto front.
`beta`	[`numeric(1)`] Must be > 0. Where the discontinuities are. A larger value moves it to larger values of the first objective.