plot_heatmap: Heatmap

In jakobbossek/ecr3vis: Evolutionary Computation in R - Version 3

Description

Visualize a Pareto-front approximation set by means of a heatmap. Here, on the x-axis, the objectives are given in the order provided by obj.cols. The y-axis shows the different solutions. The color of the cells indicates the objective value of the respective (objective, solution)-pair. It works with any kind of objectives.

Usage

plot_heatmap(df, obj.cols = c("y1", "y2"))

Arguments

df	[data.frame] Data frame with columns at least those given via parameter obj.cols, “problem” and “algorithm”.
obj.cols	[character(>= 2)] Column names of the objective function values. Default is c("y1", "y2").

Value

A ggplot object.

References

[1] T. Tušar and B. Filipič, Visualization of Pareto Front Approximations in Evolutionary Multiobjective Optimization: A Critical Review and the Prosection Method, in IEEE Transactions on Evolutionary Computation, vol. 19, no. 2, pp. 225-245, April 2015, doi: 10.1109/TEVC.2014.2313407.

See Also

Other multi-objective visualizations: plot_eaf_diff(), plot_eaf(), plot_pcp(), plot_radar(), plot_scatter2d(), plot_scatter3d()

jakobbossek/ecr3vis documentation built on Dec. 20, 2021, 9 p.m.