evolutionRestartStrategies: Evolution restart strategies
In rgp: R genetic programming framework

Description Usage Arguments Details

Evolution restart strategies are functions of the signature function(fitnessFunction, population, populationSize, functionSet, inputVariables, constantSet) that return a list of two obtjects: First, a population that replace the run's current population. Second, a list of elite individuals to keep.

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makeLocalRestartStrategy(populationType = NULL,
  extinctionPrevention = FALSE, breedingFitness = function(individual) TRUE,
  breedingTries = 50)

`populationType`	The sType of the replacement individuals, defaults to `NULL` for creating untyped populations.
`extinctionPrevention`	Whether to surpress duplicate individuals in newly initialized populations. See `geneticProgramming` for details.
`breedingFitness`	A breeding function. See the documentation for `geneticProgramming` for details.
`breedingTries`	The number of breeding steps.

makeLocalRestartStrategy creates a restart strategy that replaces all individuals with new individuals. The single best individual is returned as the elite. When using a multi-criterial fitness function, only the first component counts in the fitness sorting.

rgp documentation built on May 30, 2017, 12:45 a.m.