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elitism
argument to be an integer.de()
.gaisl()
.postFitness
usage in the vignette.de()
implementing Differential Evolution based on the description in Simon (2013) Evolutionary Optimization Algorithms.pow()
function.gails()
when suggestions are provided.summary()
function calls are shortened.gaperm_pbxCrossover()
.pow()
function."useRcpp"
in gaControl()
to control if the C++ implementation of genetic operators should be used. By default is set to TRUE.min
and max
to lower
and upper
. The old nomenclature is still accepted but deprecated.stopParallel()
function to stop a cluster if parallel = TRUE
, including registerDoSEQ()
to avoid problems if foreach loop is used after.parallel
argument in the ga()
or gaisl()
function call.gaperm_Population()
when min
> 1. Thanks to Romero Barata.README.Rmd
that is shown in GitHub and CRAN.optim()
for local search.gaisl()
.gaMonitor()
to clear the previous output before printing the info about the current iteration. Old version is available in gaMonitor2()
. Same behaviour for gaislMonitor()
and gaislMonitor2()
.plot.ga()
method.ga_pmutation()
function to allow GAs having variable mutation probability.inst/doc
with corresponding index.html..printShortMatrix()
is a function to print part of rows/columns of a matrixprint.summary.ga()
accept arguments to be passed to .printShortMatrix()
. This allow to shorten the printed output in case of large dimensions for the matrices containing the suggestions and the final solutions.plot.ga()
now shadowed the area between the max and the median of fitness values at each iteration. Changed to pch from 17 to 1 for means.gaSummary()
is embedded in the code, so it cannot be defined by the user.ga_pmutation()
for computing variable mutation probability.ga()
to allow for pmutation to be a function. This enables the use of variable mutation rate.plot.ga
class in NAMESPACE
and used as S4 method.gaSummary()
, but it may be defined by the user.summary.ga
class in NAMESPACE
and used as S4 method.ga()
is set to NULL.gabin_uCrossover()
.ga-class
.These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.