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mooplot: Graphical Visualizations for Multi-Objective Optimization
Visualization of multi-dimensional data arising in multi-objective optimization, including plots of the empirical attainment function (EAF), M. López-Ibáñez, L. Paquete, and T. Stützle (2010) <doi:10.1007/978-3-642-02538-9_9>, and symmetric Vorob'ev expectation and deviation, M. Binois, D. Ginsbourger, O. Roustant (2015) <doi:10.1016/j.ejor.2014.07.032>, among others.
Getting started
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Package details |
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| Author | Manuel López-Ibáñez [aut, cre] (<https://orcid.org/0000-0001-9974-1295>), Carlos Fonseca [ctb], Luís Paquete [ctb], Mickaël Binois [ctb] |
| Maintainer | Manuel López-Ibáñez <manuel.lopez-ibanez@manchester.ac.uk> |
| License | LGPL (>= 2) |
| Version | 0.1.0 |
| URL | https://multi-objective.github.io/mooplot/r/ https://github.com/multi-objective/mooplot/ |
| Package repository | View on CRAN |
| Installation |
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