Package: qap 0.1-2.1

qap: Heuristics for the Quadratic Assignment Problem (QAP)

Implements heuristics for the Quadratic Assignment Problem (QAP). Although, the QAP was introduced as a combinatorial optimization problem for the facility location problem in operations research, it also has many applications in data analysis. The problem is NP-hard and the package implements a simulated annealing heuristic.

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

qap_0.1-2.1.tar.gz
qap_0.1-2.1.zip(r-4.5)qap_0.1-2.1.zip(r-4.4)qap_0.1-2.1.zip(r-4.3)
qap_0.1-2.1.tgz(r-4.4-arm64)qap_0.1-2.1.tgz(r-4.4-x86_64)qap_0.1-2.1.tgz(r-4.3-arm64)qap_0.1-2.1.tgz(r-4.3-x86_64)
qap_0.1-2.1.tar.gz(r-4.5-noble)qap_0.1-2.1.tar.gz(r-4.4-noble)
qap_0.1-2.1.tgz(r-4.4-emscripten)qap_0.1-2.1.tgz(r-4.3-emscripten)
qap.pdf |qap.html
qap/json (API)
NEWS

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

Peer review:

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

On CRAN:

combinatorial-optimizationheuristicqapquadratic-assignment-problem

3 exports 4 stars 6.46 score 0 dependencies 112 dependents

Last updated 2 months agofrom:5ac54c56e5cdb49715b8f94172b4325f508e7142

Exports:qapqap.objread_qaplib

Dependencies: