choose_eafdiff: Interactively choose according to empirical attainment...

In moocore: Core Mathematical Functions for Multi-Objective Optimization

Interactively choose according to empirical attainment function differences

Description

Interactively choose according to empirical attainment function differences

Usage

choose_eafdiff(x, left = stop("'left' must be either TRUE or FALSE"))

Arguments

x	matrix() Matrix of rectangles representing EAF differences returned by eafdiff() with rectangles=TRUE.
left	logical(1) With left=TRUE return the rectangles with positive differences, otherwise return those with negative differences but differences are converted to positive.

Value

matrix() where the first 4 columns give the coordinates of two corners of each rectangle and the last column. In both cases, the last column gives the positive differences in favor of the chosen side.

Examples

extdata_dir <- system.file(package="moocore", "extdata")
A1 <- read_datasets(file.path(extdata_dir, "wrots_l100w10_dat"))
A2 <- read_datasets(file.path(extdata_dir, "wrots_l10w100_dat"))
# Choose A1
rectangles <- eafdiff(A1, A2, intervals = 5, rectangles = TRUE)
rectangles <- choose_eafdiff(rectangles, left = TRUE)
reference <- c(max(A1[, 1], A2[, 1]), max(A1[, 2], A2[, 2]))
x <- split.data.frame(A1[,1:2], A1[,3])
hv_A1 <- sapply(split.data.frame(A1[, 1:2], A1[, 3]),
                 hypervolume, reference=reference)
hv_A2 <- sapply(split.data.frame(A2[, 1:2], A2[, 3]),
                 hypervolume, reference=reference)
print(fivenum(hv_A1))
print(fivenum(hv_A2))
whv_A1 <- sapply(split.data.frame(A1[, 1:2], A1[, 3]),
                 whv_rect, rectangles=rectangles, reference=reference)
whv_A2 <- sapply(split.data.frame(A2[, 1:2], A2[, 3]),
                 whv_rect, rectangles=rectangles, reference=reference)
print(fivenum(whv_A1))
print(fivenum(whv_A2))

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