summary.moead {MOEADr} | R Documentation |
summary.moead
Description
S3 method for summarizing moead objects (the output of moead()
).
Usage
## S3 method for class 'moead'
summary(
object,
...,
useArchive = FALSE,
viol.threshold = 1e-06,
ndigits = 3,
ref.point = NULL,
ref.front = NULL
)
Arguments
object |
list object of class moead
(generated by |
... |
other parameters to be passed down to specific summary functions (currently unused) |
useArchive |
logical flag to use information from |
viol.threshold |
threshold of tolerated constraint violation, used to
determine feasibility of points in |
ndigits |
number of decimal places to use for the ideal and nadir estimates |
ref.point |
reference point for calculating the dominated hypervolume
(only if package |
ref.front |
|
References
F. Campelo, L.S. Batista, C. Aranha (2020): The MOEADr Package: A
Component-Based Framework for Multiobjective Evolutionary Algorithms Based on
Decomposition. Journal of Statistical Software doi:10.18637/jss.v092.i06
Examples
problem.1 <- list(name = "example_problem",
xmin = rep(-1,30),
xmax = rep(1,30),
m = 2)
out <- moead(preset = preset_moead("original2"),
problem = problem.1,
stopcrit = list(list(name = "maxiter",
maxiter = 100)),
showpars = list(show.iters = "dots",
showevery = 10))
summary(out)