evaluationsPerSecondBenchmark

rgpBenchmark

The fitness function to pass to the call to
<code><a rd-options="" href="/link/geneticProgramming?package=rgp&version=0.4-1" data-mini-rdoc="rgp::geneticProgramming">geneticProgramming</a></code>.

fitnessFunction

The number of indpendent measurements to perform, defaults to 1.

samples

The time in seconds a sample lasts, defaults to 10 seconds.

time

Options as passed to the function under test.


<code>rgpBenchmark</code> measures the number of fitness evaluations per second
performed by <code><a rd-options="" href="/link/geneticProgramming?package=rgp&version=0.4-1" data-mini-rdoc="rgp::geneticProgramming">geneticProgramming</a></code>. A number of <code>samples</code>
experiments are performed.


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.

rgpBenchmark: Utility functions for testing and benchmarking the RGP system

Description

Usage

Arguments

Value

Details