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>.

Package details

AuthorManuel López-Ibáñez [aut, cre] (<https://orcid.org/0000-0001-9974-1295>), Marco Chiarandini [aut], Carlos Fonseca [aut], Luís Paquete [aut], Thomas Stützle [aut], Mickaël Binois [ctb]
MaintainerManuel López-Ibáñez <manuel.lopez-ibanez@manchester.ac.uk>
LicenseGPL (>= 2)
Version2.1
URL http://lopez-ibanez.eu/eaftools https://github.com/MLopez-Ibanez/eaf
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("eaf")

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eaf documentation built on May 7, 2021, 5:06 p.m.