Please use this identifier to cite or link to this item: http://hdl.handle.net/11667/130
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dc.contributorBrownlee, Alexander-
dc.contributor.otherEPSRC - Engineering and Physical Sciences Research Councilen_GB
dc.creatorBrownlee, Alexander E I-
dc.creatorSwan, Jerryen_GB
dc.creatorSenington, Richarden_GB
dc.creatorKocsis, Zoltan Aen_GB
dc.date.accessioned2019-03-28T14:47:16Z-
dc.date.available2019-03-28T14:47:16Z-
dc.date.created2018-09-
dc.identifier.urihttp://hdl.handle.net/11667/130-
dc.description.abstractConflict-free routing is the challenging problem of allocating routes to vehicles over a network in which vehicles may not pass each other. We consider one such application: truck movements in a tightly constrained warehouse run by the company PostPac. We propose an extension of an existing conflict-free routing algorithm to consider multiple stopping points per route. A high level metaheuristic was also applied to determine the order of points to visit and the order in which to allocate routes to the vehicles. This data set encapsulated our experimental results from this work. This includes our implementation of an improved routing algorithm, with example source code in Java, an example problem definition for the warehouse in question, and our experimental results.en_GB
dc.description.tableofcontentsDatasets for the paper "Conflict-free routing of multi-stop warehouse trucks" by Alexander E.I. Brownlee, Jerry Swan, Richard Senington and Zoltan A. Kocsis src - Source Code used in the paper, including the revised implementation of QPPTW. Mixture of Scala and Java. (compile and run with scala 2.11.11 and java 8) lib - The Haiku library required by the code (see: Kocsis, Z., Brownlee, A., Swan, J., Senington, R. Haiku - a Scala combinator toolkit for semi-automated composition of metaheuristics. Proc. SSBSE 2015, Bergamo, Italy. LNCS 9275. pp. 125-140. Springer. DOI:10.1007/978-3-319-22183-0_9); also required are gson 2.2.4, jgrapht 0.8.3 and jgraphx 2.3.0.5 (not included) resources - The problem definition that we worked with, in JSON format See Readme file: src - Source Code used in the paper, including the revised implementation of QPPTW. Mixture of Scala and Java. (compile and run with scala 2.11.11 and java 8) lib - The Haiku library required by the code (see: Kocsis, Z., Brownlee, A., Swan, J., Senington, R. Haiku - a Scala combinator toolkit for semi-automated composition of metaheuristics. Proc. SSBSE 2015, Bergamo, Italy. LNCS 9275. pp. 125-140. Springer. DOI:10.1007/978-3-319-22183-0_9); also required are gson 2.2.4, jgrapht 0.8.3 and jgraphx 2.3.0.5 (not included) resources - The problem definition that we worked with, in JSON format results - raw data from which the aggregated results in the paper were drawnen_GB
dc.language.isoengen_GB
dc.publisherUniversity of Stirling. Faculty of Natural Sciences.en_GB
dc.relationBrownlee, AEI; Swan, J; Senington, R; Kocsis, ZA (2019): Datasets for the paper "Conflict-free routing of multi-stop warehouse trucks". University of Stirling. Faculty of Natural Sciences. Dataset. http://hdl.handle.net/11667/130en_GB
dc.relation.isreferencedbyBrownlee, A.E.I., Swan, J., Senington, R. et al. (2020) Conflict-free routing of multi-stop warehouse trucks. Optimization Letters, 14 (6), pp. 1459-1470. DOI: https://doi.org/10.1007/s11590-019-01453-6. Available from: http://hdl.handle.net/1893/29853en_GB
dc.rightsRights covered by the standard CC-BY 4.0 licence: https://creativecommons.org/licenses/by/4.0/en_GB
dc.subjectRoutingen_GB
dc.subjectJavaen_GB
dc.subjectmetaheuristicsen_GB
dc.subjectconflict-free routingen_GB
dc.subject.classification::Information and communication technologies::Artificial Intelligence Technologies::Optimisation (AI)en_GB
dc.titleDatasets for the paper "Conflict-free routing of multi-stop warehouse trucks"en_GB
dc.typedataseten_GB
dc.typesoftwareen_GB
dc.contributor.emailsbr@cs.stir.ac.uken_GB
dc.identifier.projectidEP/J017515/1en_GB
dc.title.projectDAASE: Dynamic Adaptive Automated Software Engineeringen_GB
dc.contributor.affiliationUniversity of Stirling (Computing Science - CSM Dept)en_GB
dc.date.publicationyear2019en_GB
dc.identifier.wtid415580en_GB
Appears in Collections:University of Stirling Research Data

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