plot.de-method function

Plot of Differential Evolution search path

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

## S4 method for signature '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.

Details

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

Returns

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

See Also

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

Author(s)

Luca Scrucca

Examples

# See examples in help(de)