R Based Genetic Algorithm Plot Function

Description

Plots features of the genetic algorithm optimization run. The default plot shows the minimal and mean evaluation value, indicating how far the GA has progressed.

The "hist" plot shows for binary chromosome the gene selection frequency, i.e. the times one gene in the chromosome was selected in the current population. In case of floats chromosomes, it will make histograms for each variable to indicate the selected values in the population.

The "vars" plot the evaluation function versus the variable value. This is useful to look at correlations between the variable and the evaluation values.

Usage

## S3 method for class 'rbga'
plot(x, type="default", breaks=10, ...)

Arguments

Examples

evaluate <- function(string=c()) {
    returnVal = 1 / sum(string);
    returnVal
}

rbga.results = rbga.bin(size=10, mutationChance=0.01, zeroToOneRatio=0.5,
    evalFunc=evaluate)

plot(rbga.results)
plot(rbga.results, type="hist")

Results