edaIndepRuns {copulaedas} | R Documentation |
Independent Runs
Description
Execute independent runs.
Usage
edaIndepRuns(eda, f, lower, upper, runs, verbose = FALSE)
Arguments
eda |
|
f |
Objective function. |
lower |
Lower bounds of the variables of the objective function. |
upper |
Upper bounds of the variables of the objective function. |
runs |
Number of runs. |
verbose |
Print information after each run and a final summary. |
Value
An EDAResults
instance.
References
Gonzalez-Fernandez Y, Soto M (2014). copulaedas: An R Package for Estimation of Distribution Algorithms Based on Copulas. Journal of Statistical Software, 58(9), 1-34. http://www.jstatsoft.org/v58/i09/.
See Also
Examples
setMethod("edaReport", "EDA", edaReportSimple)
setMethod("edaTerminate", "EDA",
edaTerminateCombined(edaTerminateMaxGen,
edaTerminateEval))
DVEDA <- VEDA(vine = "DVine", copulas = c("normal"),
indepTestSigLevel = 0.01, margin = "norm", popSize = 200,
maxGens = 50, fEval = 0, fEvalTol = 1e-03)
DVEDA@name <- "D-vine Estimation of Distribution Algorithm"
results <- edaIndepRuns(DVEDA, fSphere, rep(-600, 5), rep(600, 5), 5)
show(results)
summary(results)
[Package copulaedas version 1.4.3 Index]