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
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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

7.65 score 5 stars 80 packages 7 scripts 25k downloads 3 exports 0 dependencies

Last updated 3 months agofrom:a0e8cbacf2. Checks:OK: 9. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 31 2024
R-4.5-win-x86_64OKOct 31 2024
R-4.5-linux-x86_64OKOct 31 2024
R-4.4-win-x86_64OKOct 31 2024
R-4.4-mac-x86_64OKOct 31 2024
R-4.4-mac-aarch64OKOct 31 2024
R-4.3-win-x86_64OKOct 31 2024
R-4.3-mac-x86_64OKOct 31 2024
R-4.3-mac-aarch64OKOct 31 2024

Exports:qapqap.objread_qaplib

Dependencies: