Can be used to plot OptPaths where information for bi-objective
evaluation was logged for repeated runs of different algorithmic runs.
Pretty directly calls eafplot
.
plotEAF(opt.paths, xlim = NULL, ylim = NULL, ...)
[list
]
List of list of OptPath
objects. First index is the algorithm / major variation
in the experiment, second index is the index of the replicated run.
[numeric(2)
]
The x limits (x1, x2) of the plot.
[numeric(2)
]
The y limits (y1, y2) of the plot.
[any]
Passed on to eafplot
.
[data.frame
]
Invisibly returns the data passed to eafplot
.