View source: R/summary_moead.R
summary.moead | R Documentation |
S3 method for summarizing moead objects (the output of moead()
).
## S3 method for class 'moead' summary( object, ..., useArchive = FALSE, viol.threshold = 1e-06, ndigits = 3, ref.point = NULL, ref.front = NULL )
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 |
|
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
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)
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