IOHanalyzer (version 0.1.8.10)

generate_data.EAF_diff_Approximate: Generate EAF-differences between each function and the remaining portfolio

Description

This is an approximation of ``, since the number of required polygons can quickly become problematic for plotly. This function uses discretized contour matrices instead, which trades off accuracy for scalability.

Usage

generate_data.EAF_diff_Approximate(
  dsList,
  xmin,
  xmax,
  ymin,
  ymax,
  x.log = T,
  y.log = T
)

Arguments

dsList

The DataSetList object, containing at least 2 IDs

xmin

Minimum runtime to consider

xmax

Maximum runtime to consider

ymin

Minimum f(x) to consider

ymax

Maximum f(x) to consider

x.log

Whether to scale the y-space logarithmically

y.log

Whether to scale the y-space logarithmically

Examples

generate_data.EAF_diff_Approximate(subset(dsl, funcId == 1), 1, 16, 1, 16)