populationCreation: Classes for populations of individuals represented as...
In rgp: R genetic programming framework

Description Usage Arguments Value

makePopulation creates a population of untyped individuals, whereas makeTypedPopulation creates a population of typed individuals. fastMakePopulation is a faster variant of makePopulation with fewer options. print.population prints the population. summary.population returns a summary view of a population.

makePopulation(size, funcset, inset, conset, maxfuncdepth = 8,
  constprob = 0.2, breedingFitness = function(individual) TRUE,
  breedingTries = 50, extinctionPrevention = FALSE, funcfactory = NULL)

fastMakePopulation(size, funcset, inset, maxfuncdepth, constMin, constMax)

makeTypedPopulation(size, type, funcset, inset, conset, maxfuncdepth = 8,
  constprob = 0.2, breedingFitness = function(individual) TRUE,
  breedingTries = 50, extinctionPrevention = FALSE, funcfactory = NULL)

## S3 method for class 'population'
print(x, ...)

## S3 method for class 'population'
summary(object, ...)

`size`	The population size in number of individuals.
`type`	The (range) type of the individual functions to create.
`funcset`	The function set.
`inset`	The set of input variables.
`conset`	The set of constant factories.
`constMin`	For `fastMakePopulation`, the minimum constant to create.
`constMax`	For `fastMakePopulation`, the maximum constant to create.
`maxfuncdepth`	The maximum depth of the functions of the new population.
`constprob`	The probability of generating a constant in a step of growth, if no subtree is generated. If neither a subtree nor a constant is generated, a randomly chosen input variable will be generated. Defaults to `0.2`.
`breedingFitness`	A breeding function. See the documentation for `geneticProgramming` for details.
`breedingTries`	The number of breeding steps.
`extinctionPrevention`	When set to `TRUE`, initialization will try to prevent duplicate individuals from occurring in the population. Defaults to `FALSE`, as this operation might be expensive with larger population sizes.
`funcfactory`	A factory for creating the functions of the new population. Defaults to Koza's "ramped half-and-half" initialization strategy.
`x`	The population to print.
`object`	The population to summarize.
`...`	Additional parameters to the `print` or `summary` (passed on to their default implementation).