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Last data update: 2014.03.03

R: Plot of Islands Genetic Algorithm search path

plot.gaisl-method

R Documentation

Plot of Islands Genetic Algorithm search path

Description

The plot method for gaisl-class objects gives a plot of best fitness values found in each island during the GA iterations.

Usage

## S4 method for signature 'gaisl'
plot(x, y, ...)

Arguments

`x`	An object of class `"gaisl"`.
`y`	Not used.
`...`	Further arguments passed to `plot.default`, such as `ylim`, `ylab`, etc., or to `matplot`, such as `col`, `lty`, and `lwd`.

Details

Plot best fitness values found in each island during the GA iterations.

Value

The method invisibly return a list with the following components:

`iter`	a vector of values specifying the interation.
`summary`	a matrix of best fitness values for each island along the columns.

Author(s)

Luca Scrucca

Examples

# See examples in help(gaisl)

# The following code shows how to obtain graphs using the 
# ggplot2 plotting system 
## Not run: 
GA <- gaisl(...)
out <- plot(GA)
library(reshape2)
df <- melt(out, id.var = "iter")
library(ggplot2)
ggplot(df, aes(x = iter, y = value, group = variable, colour = variable)) +
  xlab("Generation") +  ylab("Fitness values") +
  geom_line(size = 0.8) +
  scale_colour_brewer(palette = "Paired") +
  theme_bw() +
  theme(legend.title = element_blank())

## End(Not run)