normalise: Normalise points

In moocore: Core Mathematical Functions for Multi-Objective Optimization

Normalise points

Description

Normalise points per coordinate to a range, e.g., c(1,2), where the minimum value will correspond to 1 and the maximum to 2. If bounds are given, they are used for the normalisation.

Usage

normalise(x, to_range = c(1, 2), lower = NA, upper = NA, maximise = FALSE)

Arguments

x	matrix()|data.frame() Matrix or data frame of numerical values, where each row gives the coordinates of a point.
to_range	numerical(2) Normalise values to this range. If the objective is maximised, it is normalised to c(to_range[1], to_range[0]) instead.
lower, upper	numerical() Bounds on the values. If NA, the maximum and minimum values of each coordinate are used.
maximise	logical() Whether the objectives must be maximised instead of minimised. Either a single logical value that applies to all objectives or a vector of logical values, with one value per objective.

Value

matrix()
A numerical matrix

Author(s)

Manuel López-Ibáñez

Examples

data(SPEA2minstoptimeRichmond)
# The second objective must be maximized
head(SPEA2minstoptimeRichmond[, 1:2])

head(normalise(SPEA2minstoptimeRichmond[, 1:2], maximise = c(FALSE, TRUE)))

head(normalise(SPEA2minstoptimeRichmond[, 1:2], to_range = c(0,1), maximise = c(FALSE, TRUE)))

moocore documentation built on Aug. 8, 2025, 6:12 p.m.