16 packages on CRAN
r/d/p/q functions for the truncated normal distribution
Provides infrastructure to accurately measure and compare the execution time of R expressions.
Package contains a simple SMTP client which provides a portable solution for sending email, including attachment, from within R.
Functions for multiple criteria optimization using genetic algorithms and related test problems
Collection of building blocks for the design and analysis of evolutionary multiobjective optimization algorithms.
Single objective optimization using a CMA-ES.
r,d,p,q functions for the double log normal distribution
Harrington and Derringer-Suich type desirability functions
Collection of different single objective test functions useful for benchmarks and algorithm development.
A set of signal processing functions originally written for 'Matlab' and 'Octave'. Includes filter generation utilities, filtering functions, resampling routines, and visualization of filter models. It also includes interpolation functions.
Provides a simple and efficient wrapper around the fastest Fourier transform in the west (FFTW) <http://www.fftw.org/> library.
RGP is a simple modular Genetic Programming (GP) system build in pure R. In addition to general GP tasks, the system supports Symbolic Regression by GP through the familiar R model formula interface. GP individuals are represented as R expressions, an (optional) type system enables domain-specific function sets containing functions of diverse domain- and range types. A basic set of genetic operators for variation (mutation and crossover) and selection is provided.
Extends the BatchJobs package to run statistical experiments on batch computing clusters. For further details see the project web page.
Framework for building evolutionary algorithms for both single- and multi-objective continuous or discrete optimization problems. A set of predefined evolutionary building blocks and operators is included. Moreover, the user can easily set up custom objective functions, operators, building blocks and representations sticking to few conventions. The package allows both a black-box approach for standard tasks (plug-and-play style) and a much more flexible white-box approach where the evolutionary cycle is written by hand.
Instance feature calculation and evolutionary instance generation for the traveling salesman problem. Also contains code to "morph" two TSP instances into each other. And the possibility to conveniently run a couple of solvers on TSP instances.
Twiddler is an interactive tool that automatically creates a Tcl/Tk GUI for manipulating variables in any R expression. See the documentation of the function twiddle to get started.