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makeMPM2Function

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


Description

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

Usage

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]

Author(s)

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

References

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

Examples

## Not run: 
fn = makeMPM2Function(n.peaks = 10L, dimensions = 2L,
  topology = "funnel", seed = 123, rotated = TRUE, peak.shape = "ellipse")
if (require(plot3D)) {
  plot3D(fn)
}

## End(Not run)
## Not run: 
fn = makeMPM2Function(n.peaks = 5L, dimensions = 2L,
  topology = "random", seed = 134, rotated = FALSE)
plot(fn, render.levels = TRUE)

## End(Not run)

smoof

Single and Multi-Objective Optimization Test Functions

v1.6.0.2
BSD_2_clause + file LICENSE
Authors
Jakob Bossek [aut, cre], Pascal Kerschke [ctb]
Initial release
2020-02-17

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