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http://hdl.handle.net/11667/130
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DC Field | Value | Language |
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dc.contributor | Brownlee, Alexander | - |
dc.contributor.other | EPSRC - Engineering and Physical Sciences Research Council | en_GB |
dc.creator | Brownlee, Alexander E I | - |
dc.creator | Swan, Jerry | en_GB |
dc.creator | Senington, Richard | en_GB |
dc.creator | Kocsis, Zoltan A | en_GB |
dc.date.accessioned | 2019-03-28T14:47:16Z | - |
dc.date.available | 2019-03-28T14:47:16Z | - |
dc.date.created | 2018-09 | - |
dc.identifier.uri | http://hdl.handle.net/11667/130 | - |
dc.description.abstract | Conflict-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.tableofcontents | Datasets 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 drawn | en_GB |
dc.language.iso | eng | en_GB |
dc.publisher | University of Stirling. Faculty of Natural Sciences. | en_GB |
dc.relation | Brownlee, 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/11667/130 | en_GB |
dc.relation.isreferencedby | Brownlee, 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/1893/29853 | en_GB |
dc.rights | Rights covered by the standard CC-BY 4.0 licence: https://creativecommons.org/licenses/by/4.0/ | en_GB |
dc.subject | Routing | en_GB |
dc.subject | Java | en_GB |
dc.subject | metaheuristics | en_GB |
dc.subject | conflict-free routing | en_GB |
dc.subject.classification | ::Information and communication technologies::Artificial Intelligence Technologies::Optimisation (AI) | en_GB |
dc.title | Datasets for the paper "Conflict-free routing of multi-stop warehouse trucks" | en_GB |
dc.type | dataset | en_GB |
dc.type | software | en_GB |
dc.contributor.email | sbr@cs.stir.ac.uk | en_GB |
dc.identifier.projectid | EP/J017515/1 | en_GB |
dc.title.project | DAASE: Dynamic Adaptive Automated Software Engineering | en_GB |
dc.contributor.affiliation | University of Stirling (Computing Science - CSM Dept) | en_GB |
dc.date.publicationyear | 2019 | en_GB |
dc.identifier.wtid | 415580 | en_GB |
Appears in Collections: | University of Stirling Research Data |
Files in This Item:
File | Description | Size | Format | |
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Datasets.zip | 11.17 MB | Unknown | View/Open |
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