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qap  

Heuristics for the Quadratic Assignment Problem (QAP)
View on CRAN: Click here


Download and install qap package within the R console
Install from CRAN:
install.packages("qap")

Install from Github:
library("remotes")
install_github("cran/qap")

Install by package version:
library("remotes")
install_version("qap", "0.1-2")



Attach the package and use:
library("qap")
Maintained by
Michael Hahsler
[Scholar Profile | Author Map]
First Published: 2015-10-05
Latest Update: 2022-06-27
Description:
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.
How to cite:
Michael Hahsler (2015). qap: Heuristics for the Quadratic Assignment Problem (QAP). R package version 0.1-2, https://cran.r-project.org/web/packages/qap. Accessed 06 Apr. 2025.
Previous versions and publish date:
0.1-0 (2015-10-05 22:14), 0.1-1 (2017-02-27 08:15)
Other packages that cited qap R package
View qap citation profile
Other R packages that qap depends, imports, suggests or enhances
Complete documentation for qap
Functions, R codes and Examples using the qap R package
Some associated functions: qap . read_qaplib . 
Some associated R codes: qap.R . qapSA.R . read_qaplib.R .  Full qap package functions and examples
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