GA (version 3.2)

plot.de-method: Plot of Differential Evolution search path

Description

The plot method for de-class objects gives a plot of best and average fitness values found during the iterations of the DE search.

Usage

# S4 method for de
plot(x, y, ylim, cex.points = 0.7, 
     col = c("green3", "dodgerblue3",  adjustcolor("green3", alpha.f = 0.1)),
     pch = c(16, 1), lty = c(1,2), legend = TRUE, grid = graphics:::grid, …)

Arguments

x

An object of class "ga".

y

Not used.

ylim

A vector of two values specifying the limits on the y-axis.

cex.points

The magnification to be used for points.

col

The colours to be used for best and average fitness values.

pch

The type of points to be used for best and average fitness values.

lty

The type of lines to be used for best and average fitness values.

legend

A logical specifying if a legend should be included.

grid

A function for grid drawing of NULL to avoid drawing one.

…

Further arguments, currently not used.

Value

The method invisibly return a data.frame with the iterations and summary statistics for the fitness function evaluated at each iteration.

Details

Plot best and average fitness values at each iteration of DE search.

See Also

de, de-class, plot,de-method.

Examples

# NOT RUN {
# See examples in help(de)
# }