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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