The University of Southampton
University of Southampton Institutional Repository

Dataset: Test Instances for Queue constrained packing: a vehicle ferry case study

Dataset: Test Instances for Queue constrained packing: a vehicle ferry case study
Dataset: Test Instances for Queue constrained packing: a vehicle ferry case study
Research data for the paper: Christopher Bayliss, Christine S.M. Currie, Julia A. Bennell, Antonio Martinez-Sykora, 'Queue-constrained packing: A vehicle ferry case study' in European Journal of Operational Research. Contains a text file describing the data and two zipped directories. The directory "testInstances_QueueConstrainedPacking" contains ferry dimensions, vehicle mixes, vehicle dimensions, vehicle type quantities, yard queue width information for each of the 100 test instance in the three classes of instances. The input values and their names are specified in each file, that is they are self contained. The data is organised with a single file for each individual instance. The directory "bestMetaheuristicParameters" contains full details of the metaheuristic parameters that worked best for each individual test instance. This directory contains two files, one corresponding to the metaheuristic that utilised the SOPE packing encoder, and one corresponding to the metaheuristic that utilised the GPE packing encoder. Within each file there is a line for each individual test instance, information that is specified in the file to ensure that the file is self contained.
University of Southampton
Currie, Christine
dcfd0972-1b42-4fac-8a67-0258cfdeb55a
Bayliss, Christopher
5fb04968-5cbf-40d8-84b0-02e8c7e94a59
Martinez Sykora, Antonio
2f9989e1-7860-4163-996c-b1e6f21d5bed
Currie, Christine
dcfd0972-1b42-4fac-8a67-0258cfdeb55a
Bayliss, Christopher
5fb04968-5cbf-40d8-84b0-02e8c7e94a59
Martinez Sykora, Antonio
2f9989e1-7860-4163-996c-b1e6f21d5bed

Currie, Christine, Bayliss, Christopher and Martinez Sykora, Antonio (2022) Dataset: Test Instances for Queue constrained packing: a vehicle ferry case study. University of Southampton doi:10.5258/SOTON/D1130 [Dataset]

Record type: Dataset

Abstract

Research data for the paper: Christopher Bayliss, Christine S.M. Currie, Julia A. Bennell, Antonio Martinez-Sykora, 'Queue-constrained packing: A vehicle ferry case study' in European Journal of Operational Research. Contains a text file describing the data and two zipped directories. The directory "testInstances_QueueConstrainedPacking" contains ferry dimensions, vehicle mixes, vehicle dimensions, vehicle type quantities, yard queue width information for each of the 100 test instance in the three classes of instances. The input values and their names are specified in each file, that is they are self contained. The data is organised with a single file for each individual instance. The directory "bestMetaheuristicParameters" contains full details of the metaheuristic parameters that worked best for each individual test instance. This directory contains two files, one corresponding to the metaheuristic that utilised the SOPE packing encoder, and one corresponding to the metaheuristic that utilised the GPE packing encoder. Within each file there is a line for each individual test instance, information that is specified in the file to ensure that the file is self contained.

Text
readme.txt - Dataset
Available under License Creative Commons Attribution.
Download (2kB)
Archive
bestMetaheuristicParameters.zip - Dataset
Available under License Creative Commons Attribution.
Download (6kB)
Archive
testInstances_QueueConstrainedPacking.zip - Dataset
Available under License Creative Commons Attribution.
Download (276kB)

More information

Published date: 5 April 2022

Identifiers

Local EPrints ID: 435288
URI: http://eprints.soton.ac.uk/id/eprint/435288
PURE UUID: a1164766-f360-40e7-9136-17b6e1d62ea2
ORCID for Christine Currie: ORCID iD orcid.org/0000-0002-7016-3652
ORCID for Antonio Martinez Sykora: ORCID iD orcid.org/0000-0002-2435-3113

Catalogue record

Date deposited: 29 Oct 2019 17:30
Last modified: 06 May 2023 01:46

Export record

Altmetrics

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×