Title
Benchmarking Dynamic Three-Dimensional Bin Packing Problems Using Discrete-Event Simulation.
Abstract
In this paper a framework is developed to generate benchmark problems for dynamic three-dimensional (3D) bin packing problems (BPPs). This framework is able to generate benchmark problems for different variants of BPPs by taking into account potential uncertainty in real-world BPPs, which are uncertainties in dimensions, costs, weights of upcoming items. This paper has three main contributions. First, a benchmark generator framework is developed for the first time using an open source discrete-event simulation platform. This framework generates benchmark problems for BPPs by reproducing uncertainty in real-world BPPs. Second, this framework can be integrated with any dynamic BPP algorithm so that the optimisation algorithm can be run alongside the simulation to solve dynamic BPPs. Third, various performance measures from the literature are included in the framework to evaluate the optimisation algorithms from different perspectives. Thanks to the 3D visualisation feature of this framework, the optimisation results can also be observed visually. Finally, empirical experiments on a real-world BPP are conducted to verify these contributions.
Year
DOI
Venue
2016
10.1007/978-3-319-31153-1_18
Lecture Notes in Computer Science
Keywords
Field
DocType
Benchmarking,Bin packing problem,Dynamic optimisation,Simulation
Visualization,Computer science,Algorithm,Bin packing problem,Benchmarking,Discrete event simulation
Conference
Volume
ISSN
Citations 
9598
0302-9743
2
PageRank 
References 
Authors
0.37
0
5
Name
Order
Citations
PageRank
Ran Wang130.73
Trung Thanh Nguyen266949.68
Shayan Kavakeb341.77
Zai-Li Yang411213.72
Changhe Li5104443.37