# Plots of the Empirical Attainment Function

## Documentation for package ‘eaf’ version 2.4

- DESCRIPTION file.

## Help Pages

eaf-package | Computation and visualization of the empirical attainment function (EAF) for the analysis of random sets in multi-criterion optimization.
attsurf2df | Convert a list of attainment surfaces to a data.frame
avg_hausdorff_dist | Inverted Generational Distance (IGD and IGD+) and Averaged Hausdorff Distance
choose_eafdiff | Interactively choose according to empirical attainment function differences
choose_eafdiffplot | Interactively choose according to empirical attainment function differences
CPFs | Conditional Pareto fronts obtained from Gaussian processes simulations.
eaf | Computation and visualization of the empirical attainment function (EAF) for the analysis of random sets in multi-criterion optimization.
eafdiff | Compute empirical attainment function differences
eafdiffplot | Plot empirical attainment function differences
eafplot | Plot the Empirical Attainment Function for two objectives
eafplot.default | Plot the Empirical Attainment Function for two objectives
eafplot.formula | Plot the Empirical Attainment Function for two objectives
eafplot.list | Plot the Empirical Attainment Function for two objectives
eafs | Exact computation of the EAF in 2D or 3D
epsilon | Epsilon metric
epsilon_additive | Epsilon metric
epsilon_mult | Epsilon metric
filter_dominated | Identify, remove and rank dominated points according to Pareto optimality
gcp2x2 | Metaheuristics for solving the Graph Vertex Coloring Problem
hv_contributions | Hypervolume contribution of a set of points
HybridGA | Results of Hybrid GA on vanzyl and Richmond water networks
hypervolume | Hypervolume metric
igd | Inverted Generational Distance (IGD and IGD+) and Averaged Hausdorff Distance
IGDX | Inverted Generational Distance (IGD and IGD+) and Averaged Hausdorff Distance
igd_plus | Inverted Generational Distance (IGD and IGD+) and Averaged Hausdorff Distance
is_nondominated | Identify, remove and rank dominated points according to Pareto optimality
largest_eafdiff | Identify largest EAF differences
normalise | Normalise points
pareto_rank | Identify, remove and rank dominated points according to Pareto optimality
pdf_crop | Remove whitespace margins from a PDF file (and maybe embed fonts)
read.data.sets | Read several data sets
read_datasets | Read several data sets
SPEA2minstoptimeRichmond | Results of SPEA2 when minimising electrical cost and maximising the minimum idle time of pumps on Richmond water network.
SPEA2relativeRichmond | Results of SPEA2 with relative time-controlled triggers on Richmond water network.
SPEA2relativeVanzyl | Results of SPEA2 with relative time-controlled triggers on Vanzyl's water network.
symDifPlot | Vorob'ev computations
total_whv_rect | Compute (total) weighted hypervolume given a set of rectangles
vorobDev | Vorob'ev computations
vorobT | Vorob'ev computations
whv_hype | Approximation of the (weighted) hypervolume by Monte-Carlo sampling
whv_rect | Compute (total) weighted hypervolume given a set of rectangles
write_datasets | Write data sets
_PACKAGE | Computation and visualization of the empirical attainment function (EAF) for the analysis of random sets in multi-criterion optimization.