View source: R/get_observations.R
get_observations | R Documentation |
Call algorithm routine for the solution of a problem instance
get_observations(algo, instance, n = 1)
algo |
a list object containing the definitions of the algorithm.
See |
instance |
a list object containing the definitions of the problem
instance. See |
n |
number of observations to generate. |
vector of observed performance values
Felipe Campelo (fcampelo@ufmg.br, f.campelo@aston.ac.uk)
calc_nreps()
# Make a dummy instance with a centered (zero-mean) exponential distribution: instance <- list(FUN = "dummyinstance", distr = "rexp", rate = 5, bias = -1/5) # Simulate a dummy algorithm that has a uniform distribution of expected # performance values, between -25 and 50. algorithm <- list(FUN = "dummyalgo", distribution.fun = "runif", distribution.pars = list(min = -25, max = 50)) x <- get_observations(algorithm, instance, n = 1000) hist(x)
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