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gbp: A Bin Packing Problem Solver

Basic infrastructure and several algorithms for 1d-4d bin packing problem. This package provides a set of c-level classes and solvers for 1d-4d bin packing problem, and an r-level solver for 4d bin packing problem, which is a wrapper over the c-level 4d bin packing problem solver. The 4d bin packing problem solver aims to solve bin packing problem, a.k.a container loading problem, with an additional constraint on weight. Given a set of rectangular-shaped items, and a set of rectangular-shaped bins with weight limit, the solver looks for an orthogonal packing solution such that minimizes the number of bins and maximize volume utilization. Each rectangular-shaped item i = 1, .. , n is characterized by length l_i, depth d_i, height h_i, and weight w_i, and each rectangular-shaped bin j = 1, .. , m is specified similarly by length l_j, depth d_j, height h_j, and weight limit w_j. The item can be rotated into any orthogonal direction, and no further restrictions implied.

Version: 0.1.0.4
Depends: R (≥ 3.0.0), magrittr, data.table
Imports: methods, rgl, Rcpp (≥ 0.12.7)
LinkingTo: Rcpp, RcppArmadillo
Suggests: testthat, knitr, rmarkdown
Published: 2017-01-28
DOI: 10.32614/CRAN.package.gbp
Author: Guang Yang
Maintainer: Guang Yang <gyang274 at gmail.com>
BugReports: https://github.com/gyang274/gbp/issues
License: MIT + file LICENSE
URL: https://github.com/gyang274/gbp
NeedsCompilation: yes
SystemRequirements: C++11, GNU make
CRAN checks: gbp results

Documentation:

Reference manual: gbp.pdf
Vignettes: gbp: a bin packing problem solver.

Downloads:

Package source: gbp_0.1.0.4.tar.gz
Windows binaries: r-devel: gbp_0.1.0.4.zip, r-release: gbp_0.1.0.4.zip, r-oldrel: gbp_0.1.0.4.zip
macOS binaries: r-release (arm64): gbp_0.1.0.4.tgz, r-oldrel (arm64): gbp_0.1.0.4.tgz, r-release (x86_64): gbp_0.1.0.4.tgz, r-oldrel (x86_64): gbp_0.1.0.4.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=gbp to link to this page.

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.
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