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:
eaf_2.5.1.tar.gz
eaf_2.5.1.tar.gz(r-4.5-noble)eaf_2.5.1.tar.gz(r-4.4-noble)
eaf_2.5.1.tgz(r-4.4-emscripten)eaf_2.5.1.tgz(r-4.3-emscripten)
eaf.pdf |eaf.html✨
eaf/json (API)
NEWS
# Install 'eaf' in R: |
install.packages('eaf', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/mlopez-ibanez/eaf/issues
Pkgdown:https://mlopez-ibanez.github.io
- 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
Last updated 4 months agofrom:9a2e7281c1. Checks:OK: 2. Indexed: no.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 23 2024 |
R-4.5-linux-x86_64 | OK | Nov 23 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