Title
Column generation for the variable cost and size bin packing problem with fragmentation
Abstract
Bin Packing Problems with Item Fragmentation (BPPIF) are variants of classical Bin Packing in which items can be split at a price. We extend BPPIF models from the literature by allowing a set of heterogeneous bins, each potentially having a different cost and capacity. We introduce extended formulations and column generation algorithms to obtain good bounds with reasonable computing effort. We test our algorithms on instances from the literature. Our experiments prove our approach to be more effective than state-of-the-art general purpose solvers.
Year
DOI
Venue
2016
10.1016/j.endm.2016.10.016
Electronic Notes in Discrete Mathematics
Keywords
Field
DocType
Bin Packing,Item Fragmentation,Variable Cost and Size,Column Generation
Combinatorics,Column generation,Mathematical optimization,General purpose,Fragmentation (computing),Variable cost,Mathematics,Bin packing problem
Journal
Volume
ISSN
Citations 
55
1571-0653
0
PageRank 
References 
Authors
0.34
0
2
Name
Order
Citations
PageRank
Marco Casazza1374.40
Alberto Ceselli234130.53