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.

Documentation

Manual: gbp.pdf
Vignette: gbp: a bin packing problem solver.

Maintainer: Guang Yang <gyang274 at gmail.com>

Author(s): Guang Yang

Install package and any missing dependencies by running this line in your R console:

install.packages("gbp")

Depends R (>= 3.0.0), magrittr, data.table
Imports methods, rgl, Rcpp(>=0.12.7)
Suggests testthat, knitr, rmarkdown
Enhances
Linking to Rcpp, RcppArmadillo
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Package gbp
Materials
URL https://github.com/gyang274/gbp
Task Views
Version 0.1.0.4
Published 2017-01-28
License MIT + file LICENSE
BugReports https://github.com/gyang274/gbp/issues
SystemRequirements C++11, GNU make
NeedsCompilation yes
Citation
CRAN checks gbp check results
Package source gbp_0.1.0.4.tar.gz