addNDSet {gMOIP} | R Documentation |
Add discrete points to a non-dominated set and classify them into extreme supported, non-extreme supported, non-supported.
Description
Add discrete points to a non-dominated set and classify them into extreme supported, non-extreme supported, non-supported.
Usage
addNDSet(
pts,
nDSet = NULL,
crit = "max",
keepDom = FALSE,
dubND = FALSE,
classify = TRUE
)
Arguments
pts |
A data frame with points to add (a column for each objective). |
nDSet |
A data frame with current non-dominated set (NULL if none yet). Column names of the
p objectives must be |
crit |
A max or min vector. If length one assume all objectives are optimized in the same direction. |
keepDom |
Keep dominated points in output. |
dubND |
Duplicated non-dominated points are classified as non-dominated. |
classify |
Non-dominated points are classified into supported extreme ( |
Value
A data frame with a column for each objective (z
columns) and nd
(non-dominated).
Moreover if classify
then columns se
, sne
, us
and cls
.
Author(s)
Lars Relund lars@relund.dk
Examples
nDSet <- data.frame(z1=c(12,14,16,18), z2=c(18,16,12,4))
pts <- data.frame(z1 = c(18,18,14,15,15), z2=c(2,6,14,14,16))
addNDSet(pts, nDSet, crit = "max")
addNDSet(pts, nDSet, crit = "max", keepDom = TRUE)
addNDSet(pts, nDSet, crit = "min")
addNDSet(c(2,2), nDSet, crit = "max")
addNDSet(c(2,2), nDSet, crit = "min")
nDSet <- data.frame(z1=c(12,14,16,18), z2=c(18,16,12,4), z3 = c(1,7,0,6))
pts <- data.frame(z1=c(12,14,16,18), z2=c(18,16,12,4), z3 = c(2,2,2,6))
crit = c("min", "min", "max")
di <- c(1,1,-1)
li <- c(-1,20)
ini3D(argsPlot3d = list(xlim = li, ylim = li, zlim = li))
plotCones3D(nDSet, direction = di, argsPolygon3d = list(color = "green", alpha = 1),
drawPoint = FALSE)
plotHull3D(nDSet, addRays = TRUE, direction = di)
plotPoints3D(nDSet, argsPlot3d = list(col = "red"), addText = "coord")
plotPoints3D(pts, addText = "coord")
finalize3D()
addNDSet(pts, nDSet, crit, dubND = FALSE)
addNDSet(pts, nDSet, crit, dubND = TRUE)
addNDSet(pts, nDSet, crit, dubND = TRUE, keepDom = TRUE)
addNDSet(pts, nDSet, crit, dubND = TRUE, keepDom = TRUE, classify = FALSE)