Please use this identifier to cite or link to this item: http://hdl.handle.net/11667/128
Full metadata record
DC FieldValueLanguage
dc.contributorThomson, Sarah L.-
dc.contributor.otherEPSRC - Engineering and Physical Sciences Research Councilen_GB
dc.creatorThomson, Sarah L.-
dc.date.accessioned2019-02-28T09:43:59Z-
dc.date.available2019-02-28T09:43:59Z-
dc.date.created2018-10-
dc.identifier.urihttp://hdl.handle.net/11667/128-
dc.description.abstractThe dataset comprises fitness landscape data for "Clarifying the Differences in Local Optima Network Sampling Algorithms", S. L. Thomson, G. Ochoa and S. Verel, The 19th European Conference on Evolutionary Computation in Combinatorial Optimisation (EvoCOP, part of EvoStar 2019), 24-26 April 2019, Leipzig, Germany. The dataset is extracted local optima networks for the 30 Quadratic Assignment Problem instances that are sampled in the paper according to two different methodologies: using a snowball sampling approach, and using an iterated local search based algorithm. Also included is optimisation data for the instances, obtained by running iterated local search and robust tabu search on them multiple times.en_GB
dc.description.tableofcontentsThe dataset is organised into three 'zip' files. 'OptimisationRuns.zip' is the optimisation data obtained by running iterated local search and tabu search on the instances. The instances are all part of the Quadratic Assignment Problem Library (QAPLIB, http://anjos.mgi.polymtl.ca/qaplib/). 'SnowballLocalOptimaNetworkSamples.zip' and 'ILSLocalOptimaNetworkSamples.zip' contain 90 local optima networks each, in each case three for each instance, each constructed using a different set of sampling parameters. Additional details are in the 'readme.txt' file.en_GB
dc.publisherUniversity of Stirling. Faculty of Natural Sciences.en_GB
dc.relationThomson, SL (2019): Data From "Clarifying the Difference in Local Optima Network Sampling Algorithms". University of Stirling. Faculty of Natural Sciences. Dataset. http://hdl.handle.net/11667/128en_GB
dc.relation.isreferencedbyThomson, S.L., Ochoa, G., Verel, S. (2019) Clarifying the Difference in Local Optima Network Sampling Algorithms, In: Liefooghe A., Paquete L. (eds) Evolutionary Computation in Combinatorial Optimization. EvoCOP 2019. Lecture Notes in Computer Science, vol 11452. Springer, Cham, pp. 163.178. DOI: https://doi.org/10.1007/978-3-030-16711-0_11 Available from: http://hdl.handle.net/1893/29137en_GB
dc.rightsRights covered by the standard CC-BY 4.0 licence: https://creativecommons.org/licenses/by/4.0/en_GB
dc.titleData From "Clarifying the Difference in Local Optima Network Sampling Algorithms"en_GB
dc.typedataseten_GB
dc.contributor.emails.l.thomson@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

Files in This Item:
File Description SizeFormat 
readme.txt1.83 kBTextView/Open
ILSLocalOptimaNetworkSamples.zip130.48 MBzipView/Open
OptimisationRuns.zip144.24 kBzipView/Open
SnowballLocalOptimaNetworkSamples.zip230.14 MBzipView/Open


This item is protected by original copyright



Items in DataSTORRE are protected by copyright, with all rights reserved, unless otherwise indicated.