makeVisualizingMonitor: Generator for visualizing monitor.
In cmaesr: Covariance Matrix Adaptation Evolution Strategy

Description Usage Arguments Details Value

This generator visualizes the optimization process for two-dimensional functions by means of ggplot2.

1 2	makeVisualizingMonitor(show.last = FALSE, show.distribution = TRUE, xlim = NULL, ylim = NULL)

`show.last`	[`logical(1)`] Should the last population be visualized as well? Default is `FALSE`.
`show.distribution`	[`logical(1)`] Should an ellipsis of the normal distribution be plotted? Default is `TRUE`.
`xlim`	[`numeric(2)` \|\| `NULL`] Limits for the first axis. Default is `NULL`, i.e., the bounds are determined automatically.
`ylim`	[`numeric(2)` \|\| `NULL`] Limits for the second axis. Default is `NULL`, i.e., the bounds are determined automatically.

The plot contains points representing the current population, the center of mass or mean value of the population respectively. Optionally an ellipsis represneting the normal distribution of the points can be depicted.

[cma_monitor]

cmaesr documentation built on May 2, 2019, 3:37 p.m.