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Please use this identifier to cite or link to this item: http://hdl.handle.net/11667/104
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dc.contributorVeerapen, Nadarajen-
dc.contributor.otherEPSRC - Engineering and Physical Sciences Research Councilen_GB
dc.contributor.otherLeverhulme Trusten_GB
dc.creatorVeerapen, Nadarajen-
dc.creatorMcMenemy, Paul-
dc.creatorOchoa, Gabriela-
dc.date.accessioned2018-01-10T10:00:58Z-
dc.date.available2018-01-10T10:00:58Z-
dc.date.created2017-10-
dc.identifier.urihttp://hdl.handle.net/11667/104-
dc.description.abstractThe dataset contains landscape data for "How Perturbation Strength Shapes the Global Structure of TSP Fitness Landscapes", P. McMenemy, N. Veerapen, G. Ochoa. The 18th European Conference on Evolutionary Computation in Combinatorial Optimisation (EvoCOP 2018), 4 - 6 April 2018, Parma, Italy. The dataset describes the network structure of the local optima networks for 180 Travelling Salesman Problem instances, across 10 perturbation strengths, that are sampled in the paper. The TSP instances themselves are provided in the files clusteredInstances.zip and uniformInstances.zip and were generated using the DIMACS TSP instance generator (http://dimacs.rutgers.edu/Challenges/TSP/download.html).en_GB
dc.description.tableofcontentsThe dataset contains landscape data for "How Perturbation Strength Shapes the Global Structure of TSP Fitness Landscapes", P. McMenemy, N. Veerapen, G. Ochoa. The 18th European Conference on Evolutionary Computation in Combinatorial Optimisation (EvoCOP 2018), 4 - 6 April 2018, Parma, Italy. The dataset describes the network structure of the local optima networks for 180 Travelling Salesman Problem instances, across 10 perturbation strengths, that are sampled in the paper. The TSP instances themselves are provided in the files clusteredInstances.zip and uniformInstances.zip and were generated using the DIMACS TSP instance generator (http://dimacs.rutgers.edu/Challenges/TSP/download.html). For the networks based on these instances, C506.zip, C755.zip and C1010.zip (resp. E506.zip, E755.zip and E1010.zip) each contain networks for clustered (resp. uniform) instances of size 506, 755 and 1010. Full details are given in the README.txt file.en_GB
dc.publisherUniversity of Stirling. Faculty of Natural Sciences.en_GB
dc.relationVeerapen, N; McMenemy, P; Ochoa, G (2018): Data from 'How Perturbation Strength Shapes the Global Structure of TSP Fitness Landscapes'. University of Stirling. Faculty of Natural Sciences. Dataset. http://hdl.handle.net/11667/104en_GB
dc.relation.isreferencedbyMcMenemy, P., Veerapen, N. and Ochoa, G. (2017) How Perturbation Strength Shapes the Global Structure of TSP Fitness Landscapes In: Liefooghe A & López-Ibáñez M (eds.) Evolutionary Computation in Combinatorial Optimization. EvoCOP 2018. Lecture Notes in Computer Science, 10782. EvoCOP 2018 - The 18th European Conference on Evolutionary Computation in Combinatorial Optimisation, Parma, Italy, 04.04.2018-06.04.2018. Cham, Switzerland: Springer, pp. 34-49. DOI: https://doi.org/10.1007/978-3-319-77449-7_3. Available from: http://hdl.handle.net/1893/26546en_GB
dc.rightsRights covered by the standard CC-BY 4.0 licence: https://creativecommons.org/licenses/by/4.0/en_GB
dc.subjectFitness landscapeen_GB
dc.subjectLocal Searchen_GB
dc.subjectLocal Optima Networken_GB
dc.subjectTravelling Salesman Problemen_GB
dc.subject.classification::Information and communication technologies::Artificial Intelligence Technologies::Computational Searchen_GB
dc.subject.classification::Information and communication technologies::Artificial Intelligence Technologies::Meta Heuristicsen_GB
dc.subject.classification::Information and communication technologies::Artificial Intelligence Technologies::Optimisation (AI)en_GB
dc.titleData from 'How Perturbation Strength Shapes the Global Structure of TSP Fitness Landscapes'en_GB
dc.typedataseten_GB
dc.contributor.emailnve@cs.stir.ac.uken_GB
dc.identifier.rmsid1962en_GB
dc.identifier.rmsid1067en_GB
dc.identifier.projectidRPG-2015-395en_GB
dc.identifier.projectidEP/J017515/1en_GB
dc.title.projectThe Cartography of Computational Search Spacesen_GB
dc.title.projectDAASE: Dynamic Adaptive Automated Software Engineeringen_GB
dc.contributor.affiliationUniversity of Stirling (Computing Science - CSM Dept)en_GB
dc.date.publicationyear2018en_GB
Appears in Collections:University of Stirling Research Data

Files in This Item:
File Description SizeFormat 
C1010.zip2.12 GBUnknownView/Open
C506.zip853.87 MBUnknownView/Open
E506.zip828.92 MBUnknownView/Open
E1010.zip2.22 GBUnknownView/Open
C755.zip754.22 MBUnknownView/Open
E755.zip1.16 GBUnknownView/Open
clusteredInstances.zip634.66 kBUnknownView/Open
uniformInstances.zip635.56 kBUnknownView/Open
README.txt4.66 kBTextView/Open


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