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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>.
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Package details |
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| Author | Manuel 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] |
| Maintainer | Manuel López-Ibáñez <manuel.lopez-ibanez@manchester.ac.uk> |
| License | GPL (>= 2) |
| Version | 2.4.1 |
| URL | https://mlopez-ibanez.github.io/eaf/ https://github.com/MLopez-Ibanez/eaf |
| Package repository | View on CRAN |
| Installation |
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