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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.

Version: 0.1-2
Suggests: testthat
Published: 2022-06-27
DOI: 10.32614/CRAN.package.qap
Author: Michael Hahsler ORCID iD [aut, cre, cph], Franz Rendl [ctb, cph]
Maintainer: Michael Hahsler <mhahsler at lyle.smu.edu>
BugReports: https://github.com/mhahsler/qap/issues
License: GPL-3
URL: https://github.com/mhahsler/qap
NeedsCompilation: yes
Materials: README NEWS
In views: Optimization
CRAN checks: qap results

Documentation:

Reference manual: qap.pdf

Downloads:

Package source: qap_0.1-2.tar.gz
Windows binaries: r-devel: qap_0.1-2.zip, r-release: qap_0.1-2.zip, r-oldrel: qap_0.1-2.zip
macOS binaries: r-release (arm64): qap_0.1-2.tgz, r-oldrel (arm64): qap_0.1-2.tgz, r-release (x86_64): qap_0.1-2.tgz, r-oldrel (x86_64): qap_0.1-2.tgz
Old sources: qap archive

Reverse dependencies:

Reverse imports: seriation

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.