plotEdgeFrequency: Visualization of edge frequency among solution set.

In jakobbossek/rmoco: A Toolbox for the Multi-Criteria Minimum Spanning Tree Problem

Visualization of edge frequency among solution set.

Description

Given a list of graphs and a list of solutions (encoded as edge lists) for each graph the function generates each one plot. This is a 2D-scatterplot of edge weights of the graph. Size and colour of each point indicate the number of solutions the edge is part of.

Usage

plotEdgeFrequency(graphs, approx.sets, facet.args = list(), names = NULL)

Arguments

graphs	[list(grapherator)] List of grapherator graphs.
approx.sets	[list(list(matrix))] List of approximations sets.
facet.args	[list] Further arguments passed down to facet_wrap. Only relevant if length(graphs) > 1.
names	[character] Optional names of the graph instances. Used for facetting. Default is “Problem_i” with i ranging from 1 to length(graphs).

Value

[ggplot]

See Also

Other result visualization: plotEdges()

Examples

g = genRandomMCGP(50L)
res = mcMSTEmoaBG(mu = 10L, max.iter = 50, instance = g, scalarize = TRUE)
## Not run: 
plotEdgeFrequency(list(g), list(res$pareto.set))

## End(Not run)

jakobbossek/rmoco documentation built on March 21, 2023, 9:09 p.m.