NEWS

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GA 3.2.5

• Fixed bug in C++ code for optimProbsel_Rcpp() by rewriting rank_asR().

GA 3.2.4 (2024-01-28)

• Fixed CRAN issues.

GA 3.2.3 (2022-10-18)

• Fixed warnings in C++ code under CRAN request.

GA 3.2.2 (2021-10-15)

• Fixed doi in JSS and RJ publication.

GA 3.2.1 (2021-04-21)

• Forced elitism argument to be an integer.
• Fixed passing further fitness function arguments in de().
• Fixed passing suggestions in gaisl().
• Added an example of postFitness usage in the vignette.
• Added rmarkdown in the list of suggested package (as required by CRAN).

GA 3.2 (2019-01-10)

• Added website using pkgdown.
• Added a section to vignette on integer optimisation.
• Added function de() implementing Differential Evolution based on the description in Simon (2013) Evolutionary Optimization Algorithms.
• Bug fix in C++ code calling pow() function.
• Bug fix in gails() when suggestions are provided.
• Long outputs in summary() function calls are shortened.
• Fix a bug in gaperm_pbxCrossover().

GA 3.1.1 (2018-05-11)

• Bug fix in C++ code calling pow() function.

GA 3.1 (2018-05-09)

• Genetic operators available in C++ using Rcpp package.
• Add parameter "useRcpp" in gaControl() to control if the C++ implementation of genetic operators should be used. By default is set to TRUE.
• Renamed input parameters min and max to lower and upper. The old nomenclature is still accepted but deprecated.
• Added stopParallel() function to stop a cluster if parallel = TRUE, including registerDoSEQ() to avoid problems if foreach loop is used after.
• A parallel cluster is automatically stopped unless a registered parallel back end is provided as argument to parallel argument in the ga() or gaisl() function call.
• Bug fix in gaperm_Population() when min > 1. Thanks to Romero Barata.
• Update "A quick tour of GA" vignette.
• Add README.Rmd that is shown in GitHub and CRAN.
• Create a sticker for the GA package.

GA 3.0.2 (2016-06-07)

• In interactive sessions use different monitor functions depending on whether or not is an RStudio session. This is due to different capabilities of the several consoles from which R can be run.

GA 3.0.1 (2016-05-16)

• doRNG package moved from Depends to Suggests due to the unavailability of the binary version of the package on Windows. As a consequence, GA package can be installed even without doRNG being installed, but in this case results are not reproducible by setting the seed if GAs are executed in parallel.

GA 3.0 (2016-05-10)

• Added option to provide a cluster for parallelisation.
• Added GA-hybrid using optim() for local search.
• Added GA Islands model in gaisl().
• Rewrite of 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().

GA 2.3

• Added documentation vignettes.

GA 2.2 (2014-10-15)

• Slight modification to plot.ga() method.
• Included link in main ga documentation to genetic operators.
• Added ga_pmutation() function to allow GAs having variable mutation probability.
• pdf files (previously included as vignettes) moved to inst/doc with corresponding index.html.

GA 2.1 (2014-05-06)

• .printShortMatrix() is a function to print part of rows/columns of a matrix
• print.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.
• Function gaSummary() is embedded in the code, so it cannot be defined by the user.
• Added function ga_pmutation() for computing variable mutation probability.
• Modified main function ga() to allow for pmutation to be a function. This enables the use of variable mutation rate.
• Export plot.ga class in NAMESPACE and used as S4 method.
• Computing summaries at each step is done by function gaSummary(), but it may be defined by the user.
• Export summary.ga class in NAMESPACE and used as S4 method.
• Default for suggestions argument in ga() is set to NULL.
• Fixed a bug in gabin_uCrossover().
• Added description of slots in the help page for ga-class.
• Bug fix on setting maxfitness.
• Bug fix on passing seed argument when "snow" parallel is used.
• Add explicitly stop clusters if parallel is used.
• Parallel computing improving set up of clusters.

GA 2.0 (2013-08-20)

• Option for parallel computing.
• Added argument keepBest to include the best solution at each iteration.
• Bug fix when using suggestions argument.

GA 1.1 (2013-04-08)

• Update citation and references to JSS paper.

GA 1.0 (2012-06-22)

• First release on CRAN.