edaIndepRuns: Independent Runs

In yasserglez/copulaedas: Estimation of Distribution Algorithms Based on Copulas

Description

Execute independent runs.

Usage

edaIndepRuns(eda, f, lower, upper, runs, verbose = FALSE)

Arguments

eda	EDA instance.
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

EDA, edaRun.

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)

yasserglez/copulaedas documentation built on June 9, 2021, 10:05 a.m.