Package: mco 1.17

mco: Multiple Criteria Optimization Algorithms and Related Functions

A collection of function to solve multiple criteria optimization problems using genetic algorithms (NSGA-II). Also included is a collection of test functions.

Authors:Olaf Mersmann [aut, cre], Heike Trautmann [ctb], Detlef Steuer [ctb], Bernd Bischl [ctb], Kalyanmoy Deb [cph]

mco_1.17.tar.gz
mco_1.17.zip(r-4.5)mco_1.17.zip(r-4.4)mco_1.17.zip(r-4.3)
mco_1.17.tgz(r-4.5-x86_64)mco_1.17.tgz(r-4.5-arm64)mco_1.17.tgz(r-4.4-x86_64)mco_1.17.tgz(r-4.4-arm64)mco_1.17.tgz(r-4.3-x86_64)mco_1.17.tgz(r-4.3-arm64)
mco_1.17.tar.gz(r-4.5-noble)mco_1.17.tar.gz(r-4.4-noble)
mco_1.17.tgz(r-4.4-emscripten)mco_1.17.tgz(r-4.3-emscripten)
mco.pdf |mco.html✨
mco/json (API)

# Install 'mco' in R:
install.packages('mco', repos = c('https://olafmersmann.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/olafmersmann/mco/issues

On CRAN:

Conda:

7.71 score 10 stars 16 packages 114 scripts 3.1k downloads 6 mentions 35 exports 0 dependencies

Last updated 7 months agofrom:2c4c9401fa. Checks:11 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKFeb 15 2025
R-4.5-win-x86_64OKFeb 15 2025
R-4.5-mac-x86_64OKFeb 15 2025
R-4.5-mac-aarch64OKFeb 15 2025
R-4.5-linux-x86_64OKFeb 15 2025
R-4.4-win-x86_64OKFeb 15 2025
R-4.4-mac-x86_64OKFeb 15 2025
R-4.4-mac-aarch64OKFeb 15 2025
R-4.3-win-x86_64OKFeb 15 2025
R-4.3-mac-x86_64OKFeb 15 2025
R-4.3-mac-aarch64OKFeb 15 2025

Exports:belegundubelegundu.constrbinh1binh2binh2.constrbinh3deb3dominatedHypervolumeepsilonIndicatorfonseca1fonseca2generalizedSpreadgenerationalDistancegiannahanne1hanne1.constrhanne2hanne2.constrhanne3hanne3.constrhanne4hanne4.constrhanne5hanne5.constrjimenezjimenez.constrnormalizeFrontnsga2paretoFilterparetoFrontparetoSetvntzdt1zdt2zdt3

Dependencies:

Readme and manuals

Help Manual

Help pageTopics
MCO test problemsbelegundu belegundu.constr binh1 binh2 binh2.constr binh3 deb3 fonseca1 fonseca2 gianna hanne1 hanne1.constr hanne2 hanne2.constr hanne3 hanne3.constr hanne4 hanne4.constr hanne5 hanne5.constr jimenez jimenez.constr vnt zdt1 zdt2 zdt3
Quality measures for MCO solutionsdominatedHypervolume epsilonIndicator generalizedSpread generationalDistance
Normalize a pareto frontnormalizeFront
NSGA II MOEAnsga2
Pareto Front and pareto set gettersparetoFilter paretoFront paretoSet