Please use this identifier to cite or link to this item: https://doi.org/10.1016/j.omega.2017.01.006
Title: The two-dimensional vector packing problem with general costs
Authors: Qian Hu
Lijun Wei
Lim Leong Chye, Andrew 
Keywords: Application
Bin packing
Two-dimensional vector packing
General costs
Memetic algorithm
Issue Date: 1-Jan-2018
Publisher: Elsevier
Citation: Qian Hu, Lijun Wei, Lim Leong Chye, Andrew (2018-01-01). The two-dimensional vector packing problem with general costs. Omega 74 : 59-69. ScholarBank@NUS Repository. https://doi.org/10.1016/j.omega.2017.01.006
Abstract: The two-dimensional vector packing problem with general costs (2DVPP-GC) arises in logistics where shipping items of different weight and volume are packed into cartons before being transported by a courier company. In practice, the delivery cost of a carton of items is usually retrieved from a cost table. The costs may not preserve any known mathematical function since it could specify arbitrary price at any possible weight. Such a general pricing scheme meets a majority of real-world bin packing applications, where the price of delivery service is determined by many complicated and correlated factors. Compared to the classical bin packing problem and its variants, the 2DVPP-GC is more complex and challenging. To solve the 2DVPP-GC with minimizing the total cost, we propose a memetic algorithm to compute solutions of high quality. Fitness functions and improved operators are proposed to achieve effectiveness. Computational experiments on a variety of test instances show that the algorithm is competent to solve the 2DVPP-GC. In particular, optimal solutions are found in a second for all the test instances that have a known optimal solution.
Source Title: Omega
URI: https://scholarbank.nus.edu.sg/handle/10635/167673
ISSN: 0305-0483
DOI: 10.1016/j.omega.2017.01.006
Appears in Collections:Staff Publications
Elements

Show full item record
Files in This Item:
File Description SizeFormatAccess SettingsVersion 
2dvpp-gc.pdf744.12 kBAdobe PDF

OPEN

Pre-printView/Download

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.