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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 HahslerORCID 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.html ,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:

Please use the canonical formhttps://CRAN.R-project.org/package=qapto link to this page.


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