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The three-dimensional container loading problem

The three-dimensional container loading problem
The three-dimensional container loading problem
This thesis investigates the three-dimensional container loading problem. We review all literatures published in this area, and explain our unique problem raised from an industry partner. As constructive heuristic remains uncontrollable to us, we design improvement algorithms both to and not to intervene with how constructive heuristic works, namely iterated local search and beam search. New benchmark data sets for multiple containers problem are generated to fill the shortage of challenging data sets. Computational results for homogeneous containers problem indicate that while both approaches work on our problem, beam search remains a favourable choice. We also extend our algorithms to solve heterogeneous containers problem.
University of Southampton
Zhao, Xiaozhou
3e4d4056-e0d5-478e-9057-19b41fbd6e7b
Zhao, Xiaozhou
3e4d4056-e0d5-478e-9057-19b41fbd6e7b
Bennell, Julia A
38d924bc-c870-4641-9448-1ac8dd663a30

Zhao, Xiaozhou (2017) The three-dimensional container loading problem. University of Southampton, Doctoral Thesis, 208pp.

Record type: Thesis (Doctoral)

Abstract

This thesis investigates the three-dimensional container loading problem. We review all literatures published in this area, and explain our unique problem raised from an industry partner. As constructive heuristic remains uncontrollable to us, we design improvement algorithms both to and not to intervene with how constructive heuristic works, namely iterated local search and beam search. New benchmark data sets for multiple containers problem are generated to fill the shortage of challenging data sets. Computational results for homogeneous containers problem indicate that while both approaches work on our problem, beam search remains a favourable choice. We also extend our algorithms to solve heterogeneous containers problem.

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Final PhD thesis - Version of Record
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e-pub ahead of print date: 25 March 2017

Identifiers

Local EPrints ID: 413542
URI: http://eprints.soton.ac.uk/id/eprint/413542
PURE UUID: e9a44172-754a-4a5b-85f7-bd15084c49c2

Catalogue record

Date deposited: 25 Aug 2017 16:31
Last modified: 08 May 2020 04:01

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Contributors

Author: Xiaozhou Zhao
Thesis advisor: Julia A Bennell

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