Quotation Hemmelmayr, Vera, Schmid, Verena, Blum, Christian. 2012. Variable neighbourhood search for the variable sized bin packing problem. Computers and Operations Research 39 (5), 1097-1180.


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Abstract

The variable sized bin packing problem is a generalisation of the one-dimensional bin packing problem. Given is a set of weighted items, which must be packed into a minimum-cost set of bins of variable sizes and costs. This problem has practical applications, for example, in packing, transportation planning, and cutting. In this work we propose a variable neighbourhood search metaheuristic for tackling the variable sized bin packing problem. The presented algorithm can be seen as a hybrid metaheuristic, because it makes use of lower bounding techniques and dynamic programming in various algorithmic components. An extensive experimentation on a diverse set of problem instances shows that the proposed algorithm is very competitive with current state-of-the-art approaches.

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Publication's profile

Status of publication Published
Affiliation WU
Type of publication Journal article
Journal Computers and Operations Research
Citation Index SCI
WU Journalrating 2009 A
WU-Journal-Rating new FIN-A, INF-A, STRAT-B, WH-B
Language English
Title Variable neighbourhood search for the variable sized bin packing problem
Volume 39
Number 5
Year 2012
Page from 1097
Page to 1180
Reviewed? Y
URL http://www.sciencedirect.com/science/article/pii/S0305054811001961
DOI http://dx.doi.org/10.1016/j.cor.2011.07.003

Associations

People
Hemmelmayr, Vera (Details)
External
Blum, Christian
Schmid, Verena
Organization
Institute for Transport and Logistics Management (Details)
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