1. STORRE
  2. Faculty of Natural Sciences
  3. Computing Science and Mathematics
  4. Computing Science and Mathematics Conference Papers and Proceedings
Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/27952
Full metadata record
DC FieldValueLanguage
dc.contributor.authorVerel, Sébastienen_UK
dc.contributor.authorDaolio, Fabioen_UK
dc.contributor.authorOchoa, Gabrielaen_UK
dc.contributor.authorTomassini, M.en_UK
dc.contributor.editorFonseca, CMen_UK
dc.contributor.editorLourenco, Nen_UK
dc.contributor.editorMachado, Pen_UK
dc.contributor.editorPaquete, Len_UK
dc.contributor.editorAuger, Aen_UK
dc.contributor.editorWhitley, Den_UK
dc.date.accessioned2018-10-12T00:00:59Z-
dc.date.available2018-10-12T00:00:59Z-
dc.date.issued2018-12-31en_UK
dc.identifier.urihttp://hdl.handle.net/1893/27952-
dc.description.abstractLocal Optima Networks (LON) model combinatorial landscapes as graphs, where nodes are local optima and edges transitions among them according to given move operators. Modelling landscapes as networks brings a new rich set of metrics to characterize them. Most of the previous works on LONs fully enumerate the underlying landscapes to extract all local optima, which limits their use to small instances. This article proposes a sound sampling procedure to extract LONs of larger instances and estimate their metrics. The results obtained on two classes of Quadratic Assignment Problem (QAP) benchmark instances show that the method produces reliable results.en_UK
dc.language.isoenen_UK
dc.publisherSpringer Verlagen_UK
dc.relationVerel S, Daolio F, Ochoa G & Tomassini M (2018) Sampling local optima networks of large combinatorial search spaces: The qap case. In: Lourenco N, Fonseca C, Machado P, Paquete L, Auger A & Whitley D (eds.) Parallel Problem Solving from Nature – PPSN XV. PPSN 2018. Lecture Notes in Computer Science, 11102. PPSN 2018: International Conference on Parallel Problem Solving from Nature, Coimbra, Portugal, 08.09.2018-12.09.2018. Cham, Switzerland: Springer Verlag, pp. 257-268. https://doi.org/10.1007/978-3-319-99259-4_21en_UK
dc.relation.ispartofseriesLecture Notes in Computer Science, 11102en_UK
dc.rightsThis is a post-peer-review, pre-copyedit version of a paper published in Fonseca C, Lourenco N, Machado P, Paquete L, Auger A & Whitley D (eds.) Parallel Problem Solving from Nature – PPSN XV. PPSN 2018. Lecture Notes in Computer Science, 11102. The final authenticated version is available online at: https://doi.org/10.1007/978-3-319-99259-4_21en_UK
dc.titleSampling local optima networks of large combinatorial search spaces: The qap caseen_UK
dc.typeConference Paperen_UK
dc.identifier.doi10.1007/978-3-319-99259-4_21en_UK
dc.citation.jtitleLecture Notes in Artificial Intelligenceen_UK
dc.citation.issn0302-9743en_UK
dc.citation.issn0302-9743en_UK
dc.citation.spage257en_UK
dc.citation.epage268en_UK
dc.citation.publicationstatusPublisheden_UK
dc.citation.peerreviewedRefereeden_UK
dc.type.statusAM - Accepted Manuscripten_UK
dc.citation.btitleParallel Problem Solving from Nature – PPSN XV. PPSN 2018en_UK
dc.citation.conferencedates2018-09-08 - 2018-09-12en_UK
dc.citation.conferencelocationCoimbra, Portugalen_UK
dc.citation.conferencenamePPSN 2018: International Conference on Parallel Problem Solving from Natureen_UK
dc.citation.date21/08/2018en_UK
dc.citation.isbn0302-9743en_UK
dc.publisher.addressCham, Switzerlanden_UK
dc.contributor.affiliationUniversity of Littoral Côte d'Opaleen_UK
dc.contributor.affiliationComputing Scienceen_UK
dc.contributor.affiliationComputing Scienceen_UK
dc.identifier.isiWOS:000458558500021en_UK
dc.identifier.scopusid2-s2.0-85053562599en_UK
dc.identifier.wtid1030930en_UK
dc.contributor.orcid0000-0003-4240-4161en_UK
dc.contributor.orcid0000-0001-7649-5669en_UK
dc.date.accepted2018-05-14en_UK
dcterms.dateAccepted2018-05-14en_UK
dc.date.filedepositdate2018-10-11en_UK
rioxxterms.apcnot requireden_UK
rioxxterms.typeConference Paper/Proceeding/Abstracten_UK
rioxxterms.versionAMen_UK
local.rioxx.authorVerel, Sébastien|en_UK
local.rioxx.authorDaolio, Fabio|0000-0003-4240-4161en_UK
local.rioxx.authorOchoa, Gabriela|0000-0001-7649-5669en_UK
local.rioxx.authorTomassini, M.|en_UK
local.rioxx.projectInternal Project|University of Stirling|https://isni.org/isni/0000000122484331en_UK
local.rioxx.contributorFonseca, CM|en_UK
local.rioxx.contributorLourenco, N|en_UK
local.rioxx.contributorMachado, P|en_UK
local.rioxx.contributorPaquete, L|en_UK
local.rioxx.contributorAuger, A|en_UK
local.rioxx.contributorWhitley, D|en_UK
local.rioxx.freetoreaddate2018-10-11en_UK
local.rioxx.licencehttp://www.rioxx.net/licenses/all-rights-reserved|2018-10-11|en_UK
local.rioxx.filenamesampling-lons-2018.pdfen_UK
local.rioxx.filecount1en_UK
local.rioxx.source0302-9743en_UK
Appears in Collections:Computing Science and Mathematics Conference Papers and Proceedings

Files in This Item:
File Description SizeFormat 
sampling-lons-2018.pdfFulltext - Accepted Version359.96 kBAdobe PDFView/Open


This item is protected by original copyright

View License
Show simple item record


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

The metadata of the records in the Repository are available under the CC0 public domain dedication: No Rights Reserved https://creativecommons.org/publicdomain/zero/1.0/

If you believe that any material held in STORRE infringes copyright, please contact library@stir.ac.uk providing details and we will remove the Work from public display in STORRE and investigate your claim.