largest_eafdiff {moocore}

Identify largest EAF differences

Description

Given a list of datasets, return the indexes of the pair with the largest EAF differences according to the method proposed by Diaz and López-Ibáñez (2021).

Usage

largest_eafdiff(x, maximise = FALSE, intervals = 5L, reference, ideal = NULL)

Arguments

x

list()
A list of matrices or data frames with at least 3 columns (last column indicates the set).

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.

intervals

integer(1)
The absolute range of the differences [0, 1] is partitioned into the number of intervals provided.

reference

numeric()
Reference point as a vector of numerical values.

ideal

numeric()
Ideal point as a vector of numerical values. If NULL, it is calculated as minimum (or maximum if maximising that objective) of each objective in the input data.

Value

list()
A list with two components pair and value.

References

Juan Esteban Diaz, Manuel López-Ibáñez (2021). “Incorporating Decision-Maker's Preferences into the Automatic Configuration of Bi-Objective Optimisation Algorithms.” European Journal of Operational Research, 289(3), 1209–1222. doi: 10.1016/j.ejor.2020.07.059.

Examples

# FIXME: This example is too large, we need a smaller one.
data(tpls50x20_1_MWT)
nadir <- apply(tpls50x20_1_MWT[,2:3], 2L, max)
x <- largest_eafdiff(split.data.frame(tpls50x20_1_MWT[,2:4], tpls50x20_1_MWT[, 1L]),
                     reference = nadir)
str(x)