computeInvertedGenerationalDistance: Computes Inverted Generational Distance.
In jakobbossek/ecr: Evolutionary Computing in R

Helper to compute the Inverted Generational Distance (IGD) between two sets of points.

1 2	computeInvertedGenerationalDistance(A, B, p = 1, normalize = FALSE, dist.fun = computeEuclideanDistance)

`A`	[`matrix`] First point set (each column corresponds to a point).
`B`	[`matrix`] Second point set (each column corresponds to a point).
`p`	[`numeric(1)`] Parameter p of the average Hausdoff metrix. Default is 1. See the description for details.
`normalize`	[`logical(1)`] Should the front be normalized on basis of `B`? Default is `FALSE`.
`dist.fun`	[`matrix`] Distance function to compute distance between points x and y. Expects a single numeric vector d with the coordinate-wise differences di = (xi - yi). Default is `computeEuclideanDist`.