largest_eafdiff: Identify largest EAF differences
In moocore: Core Mathematical Functions for Multi-Objective Optimization

largest_eafdiff

R Documentation

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 \citetDiaLop2020ejor.

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

\insertAllCited

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)

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