Function reference • eaf

Main

eaf eaf-package: Computation and visualization of the empirical attainment function (EAF) for the analysis of random sets in multi-criterion optimization.

Computing the Empirical Attainment Function

vorobT() vorobDev() symDifPlot(): Vorob'ev computations

attsurf2df(): Convert a list of attainment surfaces to a data.frame

choose_eafdiffplot() choose_eafdiff(): Interactively choose according to empirical attainment function differences

eafdiff(): Compute empirical attainment function differences

eafs(): Exact computation of the EAF in 2D or 3D

largest_eafdiff(): Identify largest EAF differences

Visualizing the Empirical Attainment Function

choose_eafdiffplot() choose_eafdiff(): Interactively choose according to empirical attainment function differences

eafdiffplot(): Plot empirical attainment function differences

eafplot(): Plot the Empirical Attainment Function for two objectives

vorobT() vorobDev() symDifPlot(): Vorob'ev computations

Pareto dominance

is_nondominated() filter_dominated() pareto_rank(): Identify, remove and rank dominated points according to Pareto optimality

Multi-objective performance assessment metrics

epsilon_additive() epsilon_mult(): Epsilon metric

hv_contributions(): Hypervolume contribution of a set of points

hypervolume(): Hypervolume metric

igd() igd_plus() avg_hausdorff_dist(): Inverted Generational Distance (IGD and IGD+) and Averaged Hausdorff Distance

whv_hype(): Approximation of the (weighted) hypervolume by Monte-Carlo sampling (2D only)

whv_rect() total_whv_rect(): Compute (total) weighted hypervolume given a set of rectangles

Other useful functions

read_datasets() read.data.sets(): Read several data sets

write_datasets(): Write data sets

normalise(): Normalise points

pdf_crop(): Remove whitespace margins from a PDF file (and maybe embed fonts)

Datasets

CPFs: Conditional Pareto fronts obtained from Gaussian processes simulations.

HybridGA: Results of Hybrid GA on vanzyl and Richmond water networks

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.

gcp2x2: Metaheuristics for solving the Graph Vertex Coloring Problem