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

In GA: Genetic Algorithms

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 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.

Value

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

Author(s)

Luca Scrucca

See Also

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

Examples

# See examples in help(de)

Example output

Loading required package: foreach
Loading required package: iterators
Package 'GA' version 3.2
Type 'citation("GA")' for citing this R package in publications.

Attaching package: 'GA'

The following object is masked from 'package:utils':

    de

GA documentation built on May 2, 2019, 9:57 a.m.