GA: plot.de-method – R documentation

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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 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

Examples

# See examples in help(de)

GA

Genetic Algorithms

v3.2.1

GPL (>= 2)

Authors

Luca Scrucca [aut, cre] (<https://orcid.org/0000-0003-3826-0484>)

Initial release

2021-04-20