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:
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')) |
Bug tracker:https://github.com/mhahsler/qap/issues
combinatorial-optimizationheuristicqapquadratic-assignment-problem
Last updated 3 months agofrom:5ac54c56e5
Exports:qapqap.objread_qaplib
Dependencies:
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Solve Quadratic Assignment Problems (QAP) | qap qap.obj |
Read QAPLIB Files | read_qaplib |