Generator for function with multiple peaks following the multiple peaks model 2.

Generator for function with multiple peaks following the multiple peaks model 2.

makeMPM2Function(
  n.peaks,
  dimensions,
  topology,
  seed,
  rotated = TRUE,
  peak.shape = "ellipse"
)

Arguments

n.peaks

[integer(1)]
Desired number of peaks, i. e., number of (local) optima.

dimensions

[integer(1)]
Size of corresponding parameter space.

topology

[character(1)]
Type of topology. Possible values are “random” and “funnel”.

seed

[integer(1)]
Seed for the random numbers generator.

rotated

[logical(1)]
Should the peak shapes be rotated? This parameter is only relevant in case of elliptically shaped peaks.

peak.shape

[character(1)]
Shape of peak(s). Possible values are “ellipse” and “sphere”.

Value

[smoof_single_objective_function]

References

See the technical report of multiple peaks model 2 for an in-depth description of the underlying algorithm.

Author

R interface by Jakob Bossek. Original python code provided by the Simon Wessing.

Examples

if (FALSE) {
fn = makeMPM2Function(n.peaks = 10L, dimensions = 2L,
  topology = "funnel", seed = 123, rotated = TRUE, peak.shape = "ellipse")
if (require(plot3D)) {
  plot3D(fn)
}
}
if (FALSE) {
fn = makeMPM2Function(n.peaks = 5L, dimensions = 2L,
  topology = "random", seed = 134, rotated = FALSE)
plot(fn, render.levels = TRUE)
}