Package: eaf 2.5.2

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]

eaf_2.5.2.tar.gz
eaf_2.5.2.zip(r-4.7)eaf_2.5.2.zip(r-4.6)eaf_2.5.2.zip(r-4.5)
eaf_2.5.2.tgz(r-4.6-x86_64)eaf_2.5.2.tgz(r-4.6-arm64)eaf_2.5.2.tgz(r-4.5-x86_64)eaf_2.5.2.tgz(r-4.5-arm64)
eaf_2.5.2.tar.gz(r-4.7-arm64)eaf_2.5.2.tar.gz(r-4.7-x86_64)eaf_2.5.2.tar.gz(r-4.6-arm64)eaf_2.5.2.tar.gz(r-4.6-x86_64)
eaf_2.5.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
eaf/json (API)
NEWS

# Install 'eaf' in R:

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

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

Pkgdown/docs site:https://mlopez-ibanez.github.io

Uses libs:

gsl– GNU Scientific Library (GSL)

Datasets:

CPFs - Conditional Pareto fronts obtained from Gaussian processes simulations.
gcp2x2 - Metaheuristics for solving the Graph Vertex Coloring Problem
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.

On CRAN:

eaf eaf-differences epsilon hypervolume inverted-generational-distance multiobjective-optimization summary-attainment-surfaces visualization gsl

5.63 score 18 stars 34 scripts 4.7k downloads 29 exports 4 dependencies

Last updated from:e636ea6b8a. Checks:13 OK. Indexed: yes.

Target	Result	Time
linux-devel-arm64	OK	134
linux-devel-x86_64	OK	149
source / vignettes	OK	257
linux-release-arm64	OK	137
linux-release-x86_64	OK	143
macos-release-arm64	OK	136
macos-release-x86_64	OK	243
macos-oldrel-arm64	OK	173
macos-oldrel-x86_64	OK	398
windows-devel	OK	133
windows-release	OK	128
windows-oldrel	OK	116
wasm-release	OK	106

Exports:attsurf2df avg_hausdorff_dist choose_eafdiff choose_eafdiffplot eafdiff eafdiffplot eafplot eafs epsilon_additive epsilon_mult filter_dominated hv_contributions hypervolume igd igd_plus is_nondominated largest_eafdiff normalise pareto_rank pdf_crop read_datasets read.data.sets symDifPlot total_whv_rect vorobDev vorobT whv_hype whv_rect write_datasets

Dependencies:matrixStats modeltools rbibutils Rdpack

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
Convert a list of attainment surfaces to a data.frame	attsurf2df
Interactively choose according to empirical attainment function differences	choose_eafdiff choose_eafdiffplot
Conditional Pareto fronts obtained from Gaussian processes simulations.	CPFs
Compute empirical attainment function differences	eafdiff
Plot empirical attainment function differences	eafdiffplot
Plot the Empirical Attainment Function for two objectives	eafplot eafplot.default eafplot.formula eafplot.list
Exact computation of the EAF in 2D or 3D	eafs
Epsilon metric	epsilon epsilon_additive epsilon_mult
Metaheuristics for solving the Graph Vertex Coloring Problem	gcp2x2
Hypervolume contribution of a set of points	hv_contributions
Results of Hybrid GA on vanzyl and Richmond water networks	HybridGA
Hypervolume metric	hypervolume
Inverted Generational Distance (IGD and IGD+) and Averaged Hausdorff Distance	avg_hausdorff_dist igd IGDX igd_plus
Identify, remove and rank dominated points according to Pareto optimality	filter_dominated is_nondominated pareto_rank
Identify largest EAF differences	largest_eafdiff
Normalise points	normalise
Remove whitespace margins from a PDF file (and maybe embed fonts)	pdf_crop
Read several data sets	read.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 computations	symDifPlot vorobDev vorobT
Approximation of the (weighted) hypervolume by Monte-Carlo sampling (2D only)	whv_hype
Compute (total) weighted hypervolume given a set of rectangles	total_whv_rect whv_rect
Write data sets	write_datasets