Generator for function with multiple peaks following the multiple peaks model 2.
makeMPM2Function( n.peaks, dimensions, topology, seed, rotated = TRUE, peak.shape = "ellipse" )
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 .
[smoof_single_objective_function
]
## 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)
See the technical report of multiple peaks model 2 for an in-depth description of the underlying algorithm.
interface by Jakob Bossek. Original python code provided by the Simon Wessing.
Useful links