Package: qap 0.1-3

qap: Heuristics for the Quadratic Assignment Problem (QAP)

Implements a simulated annealing heuristic for the Quadratic Assignment Problem (QAP). Originally formulated as a facility location problem in operations research, the QAP also has applications in data analysis. The problem is NP-hard.

Authors:Michael Hahsler [aut, cre, cph], Franz Rendl [ctb, cph]

qap_0.1-3.tar.gz
qap_0.1-3.zip(r-4.7-x86_64)qap_0.1-3.zip(r-4.7-arm64)qap_0.1-3.zip(r-4.6-x86_64)qap_0.1-3.zip(r-4.6-arm64)qap_0.1-3.zip(r-4.5-x86_64)
qap_0.1-3.tgz(r-4.6-x86_64)qap_0.1-3.tgz(r-4.6-arm64)qap_0.1-3.tgz(r-4.5-x86_64)qap_0.1-3.tgz(r-4.5-arm64)
qap_0.1-3.tar.gz(r-4.7-arm64)qap_0.1-3.tar.gz(r-4.7-x86_64)qap_0.1-3.tar.gz(r-4.6-arm64)qap_0.1-3.tar.gz(r-4.6-x86_64)
qap_0.1-3.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
qap/json (API)

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

Bug tracker:https://github.com/mhahsler/qap/issues

Pkgdown/docs site:https://michael.hahsler.net

On CRAN:

Conda:

combinatorial-optimizationheuristicqapquadratic-assignment-problem

7.89 score 6 stars 103 packages 11 scripts 38k downloads 3 exports 0 dependencies

Last updated from:9544b77a86. Checks:14 OK, 1 WARNING. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK107
linux-devel-x86_64OK122
source / vignettesOK260
linux-release-arm64OK109
linux-release-x86_64OK121
macos-release-arm64OK96
macos-release-x86_64OK171
macos-oldrel-arm64OK81
macos-oldrel-x86_64OK198
windows-devel-arm64OK200
windows-devel-x86_64OK106
windows-release-arm64WARNING190
windows-release-x86_64OK81
windows-oldrel-x86_64OK73
wasm-releaseOK98

Exports:qapqap.objread_qaplib

Dependencies: