Package: eaf 2.5.1

eaf: Plots of the Empirical Attainment Function

Computation and visualization of the empirical attainment function (EAF) for the analysis of random sets in multi-criterion optimization. M. López-Ibáñez, L. Paquete, and T. Stützle (2010) <doi:10.1007/978-3-642-02538-9_9>.

Authors:Manuel López-Ibáñez [aut, cre], Marco Chiarandini [aut], Carlos Fonseca [aut], Luís Paquete [aut], Thomas Stützle [aut], Mickaël Binois [ctb]

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eaf.pdf |eaf.html✨
eaf/json (API)
NEWS

# Install 'eaf' in R:
install.packages('eaf', repos = c('https://mlopez-ibanez.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/mlopez-ibanez/eaf/issues

Uses libs:
  • gsl– GNU Scientific Library (GSL)
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

On CRAN:

eafeaf-differencesepsilonhypervolumeinverted-generational-distancemultiobjective-optimizationsummary-attainment-surfacesvisualization

6.36 score 16 stars 5 packages 31 scripts 1.5k downloads 29 exports 4 dependencies

Last updated 3 months agofrom:d8d81ad004. Checks:OK: 2 NOTE: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 18 2024
R-4.5-win-x86_64OKOct 18 2024
R-4.5-linux-x86_64NOTEOct 18 2024
R-4.4-win-x86_64NOTEOct 18 2024
R-4.4-mac-x86_64NOTEOct 18 2024
R-4.4-mac-aarch64NOTEOct 18 2024
R-4.3-win-x86_64NOTEOct 18 2024
R-4.3-mac-x86_64NOTEOct 18 2024
R-4.3-mac-aarch64NOTEOct 18 2024

Exports:attsurf2dfavg_hausdorff_distchoose_eafdiffchoose_eafdiffploteafdiffeafdiffploteafploteafsepsilon_additiveepsilon_multfilter_dominatedhv_contributionshypervolumeigdigd_plusis_nondominatedlargest_eafdiffnormalisepareto_rankpdf_cropread_datasetsread.data.setssymDifPlottotal_whv_rectvorobDevvorobTwhv_hypewhv_rectwrite_datasets

Dependencies:matrixStatsmodeltoolsrbibutilsRdpack

Readme and manuals

Help Manual

Help pageTopics
Convert a list of attainment surfaces to a data.frameattsurf2df
Interactively choose according to empirical attainment function differenceschoose_eafdiff choose_eafdiffplot
Conditional Pareto fronts obtained from Gaussian processes simulations.CPFs
Compute empirical attainment function differenceseafdiff
Plot empirical attainment function differenceseafdiffplot
Plot the Empirical Attainment Function for two objectiveseafplot eafplot.default eafplot.formula eafplot.list
Exact computation of the EAF in 2D or 3Deafs
Epsilon metricepsilon epsilon_additive epsilon_mult
Metaheuristics for solving the Graph Vertex Coloring Problemgcp2x2
Hypervolume contribution of a set of pointshv_contributions
Results of Hybrid GA on vanzyl and Richmond water networksHybridGA
Hypervolume metrichypervolume
Inverted Generational Distance (IGD and IGD+) and Averaged Hausdorff Distanceavg_hausdorff_dist igd IGDX igd_plus
Identify, remove and rank dominated points according to Pareto optimalityfilter_dominated is_nondominated pareto_rank
Identify largest EAF differenceslargest_eafdiff
Normalise pointsnormalise
Remove whitespace margins from a PDF file (and maybe embed fonts)pdf_crop
Read several data setsread.data.sets read_datasets
Results of SPEA2 when minimising electrical cost and maximising the minimum idle time of pumps on Richmond water network.SPEA2minstoptimeRichmond
Results of SPEA2 with relative time-controlled triggers on Richmond water network.SPEA2relativeRichmond
Results of SPEA2 with relative time-controlled triggers on Vanzyl's water network.SPEA2relativeVanzyl
Vorob'ev computationssymDifPlot vorobDev vorobT
Approximation of the (weighted) hypervolume by Monte-Carlo sampling (2D only)whv_hype
Compute (total) weighted hypervolume given a set of rectanglestotal_whv_rect whv_rect
Write data setswrite_datasets