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Please use this identifier to cite or link to this item: http://hdl.handle.net/11667/127
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dc.contributorMcMenemy, Paul-
dc.contributor.otherEPSRC - Engineering and Physical Sciences Research Councilen_GB
dc.contributor.otherLeverhulme Trusten_GB
dc.creatorMcMenemy, Paul-
dc.creatorVeerapen, Nadarajen-
dc.creatorAdair, Jason-
dc.creatorOchoa, Gabriela-
dc.date.accessioned2019-01-22T15:27:47Z-
dc.date.available2019-01-22T15:27:47Z-
dc.date.created2018-
dc.identifier.urihttp://hdl.handle.net/11667/127-
dc.description.abstractThe dataset contains all symmetric TSP instances, performance results and features sets for "Rigorous Performance Analysis of State-of-the-art TSP Heuristic Solvers", P. McMenemy, N. Veerapen, J. Adair, G. Ochoa. The 18th European Conference on Evolutionary Computation in Combinatorial Optimisation (EvoCOP 2018), 24 - 26 April 2019, Leipzig, Germany. The dataset contains .tsp format files for all 1893 instances used in the study, as well as the performance data for each TSP instance for the 3 TSP heuristics analysed. Full details are given in the README.txt file.en_GB
dc.description.tableofcontentsThe dataset contains all symmetric TSP instances, performance results and features sets for "Rigorous Performance Analysis of State-of-the-art TSP Heuristic Solvers", P. McMenemy, N. Veerapen, J. Adair, G. Ochoa. The 18th European Conference on Evolutionary Computation in Combinatorial Optimisation (EvoCOP 2018), 24 - 26 April 2019, Leipzig, Germany. The dataset contains tsp format files for all 1893 instances used in the study, as well as the performance data for each TSP instance for the 3 TSP heuristics analysed. Full TOC details are given in the README.txt file.en_GB
dc.language.isoengen_GB
dc.publisherUniversity of Stirling. Faculty of Natural Sciencesen_GB
dc.relationMcMenemy, P; Veerapen, N; Adair, J; Ochoa, G (2019): Rigorous Performance Analysis of State-of-the-art TSP Heuristic Solvers. University of Stirling. Faculty of Natural Sciences. Dataset. http://hdl.handle.net/11667/127en_GB
dc.relation.isreferencedbyMcMenemy, P., Veerapen, N., Adair, J., Ochoa, G. (2019) Rigorous Performance Analysis of State-of-the-art TSP Heuristic Solvers. In: Liefooghe A., Paquete L. (eds) Evolutionary Computation in Combinatorial Optimization. EvoCOP 2019. Lecture Notes in Computer Science, vol 11452. Springer, Cham, pp. 99-114. DOI: https://doi.org/10.1007/978-3-030-16711-0_7. Available from: http://hdl.handle.net/1893/29359en_GB
dc.rightsRights covered by the standard CC-BY 4.0 licence: https://creativecommons.org/licenses/by/4.0/en_GB
dc.subjectTravelling Salemsman Problemen_GB
dc.subjectAlgorithm Selectionen_GB
dc.subjectPerformance Analysisen_GB
dc.subjectEAXen_GB
dc.subjectGPXen_GB
dc.subject.classification::Mathematical sciences::Mathematical Aspects of Operational Research::Performance Analysisen_GB
dc.subject.classification::Information and communication technologies::Artificial Intelligence Technologies::Evolutionary Computationen_GB
dc.titleRigorous Performance Analysis of State-of-the-art TSP Heuristic Solversen_GB
dc.typedataseten_GB
dc.contributor.emailpaul.mcmenemy@stir.ac.uken_GB
dc.identifier.projectidRPG-2015-395en_GB
dc.identifier.projectidEP/J017515/1en_GB
dc.title.projectDAASE: Dynamic Adaptive Automated Software Engineeringen_GB
dc.title.projectThe Cartography of Computational Search Spacesen_GB
dc.contributor.affiliationUniversity of Stirling (Computing Science - CSM Dept)en_GB
dc.contributor.affiliationUniversity of Lilleen_GB
dc.date.publicationyear2019en_GB
dc.identifier.wtid415580en_GB
dc.identifier.wtid418227en_GB
Appears in Collections:University of Stirling Research Data

Files in This Item:
File Description SizeFormat 
NETGEN.zip6.61 MBUnknownView/Open
PIHERAMUSLIU_FEATURES.zip775.12 kBUnknownView/Open
TSPLIB.zip1.09 MBUnknownView/Open
TSPMETA_FEATURES.zip658.82 kBUnknownView/Open
EAX_PERFORMANCE.zip160.18 kBUnknownView/Open
IPT_PERFORMANCE.zip214.05 kBUnknownView/Open
MORPH.zip6.86 MBUnknownView/Open
README.txt2.47 kBTextView/Open
GPX2_PERFORMANCE.zip213.93 kBUnknownView/Open
RUE.zip6.88 MBUnknownView/Open


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