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Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/34357
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dc.contributor.authorLavinas, Yurien_UK
dc.contributor.authorAranha, Clausen_UK
dc.contributor.authorOchoa, Gabrielaen_UK
dc.contributor.editorJiménez Laredo, Juan Luisen_UK
dc.contributor.editorHidalgo, J. Ignacioen_UK
dc.contributor.editorBabaagba, Kehinde Oluwatoyinen_UK
dc.date.accessioned2022-05-25T00:00:42Z-
dc.date.available2022-05-25T00:00:42Z-
dc.date.issued2022en_UK
dc.identifier.urihttp://hdl.handle.net/1893/34357-
dc.description.abstractUnderstanding the search dynamics of multiobjective evolutionary algorithms (MOEAs) is still an open problem. This paper extends a recent network-based tool, search trajectory networks (STNs), to model the behavior of MOEAs. Our approach uses the idea of decomposition, where a multiobjective problem is transformed into several single-objective problems. We show that STNs can be used to model and distinguish the search behavior of two popular multiobjective algorithms, MOEA/D and NSGA-II, using 10 continuous benchmark problems with 2 and 3 objectives. Our findings suggest that we can improve our understanding of MOEAs using STNs for algorithm analysis.en_UK
dc.language.isoenen_UK
dc.publisherSpringer International Publishingen_UK
dc.relationLavinas Y, Aranha C & Ochoa G (2022) Search Trajectories Networks of Multiobjective Evolutionary Algorithms. In: Jiménez Laredo JL, Hidalgo JI & Babaagba KO (eds.) Applications of Evolutionary Computation. Lecture Notes in Computer Science, 13224. EvoApplications 2022, Madrid, Spain, 20.04.2022-22.04.2022. Cham, Switzerland: Springer International Publishing, pp. 223-238. https://doi.org/10.1007/978-3-031-02462-7_15en_UK
dc.relation.ispartofseriesLecture Notes in Computer Science, 13224en_UK
dc.rightsThis item has been embargoed for a period. During the embargo please use the Request a Copy feature at the foot of the Repository record to request a copy directly from the author. You can only request a copy if you wish to use this work for your own research or private study. This is a post-peer-review, pre-copyedit version of a paper published in Jiménez Laredo JL, Hidalgo JI & Babaagba KO (eds.) Applications of Evolutionary Computation. Lecture Notes in Computer Science, 13224. EvoApplications 2022, Madrid, Spain, 20.04.2022-22.04.2022. Cham, Switzerland: Springer International Publishing, pp. 223-238. The final authenticated version is available online at: https://doi.org/10.1007/978-3-031-02462-7_15en_UK
dc.rights.urihttps://storre.stir.ac.uk/STORREEndUserLicence.pdfen_UK
dc.subjectAlgorithm analysisen_UK
dc.subjectSearch trajectoriesen_UK
dc.subjectContinuous optimizationen_UK
dc.subjectVisualizationen_UK
dc.subjectMulti-objective optimizationen_UK
dc.titleSearch Trajectories Networks of Multiobjective Evolutionary Algorithmsen_UK
dc.typeConference Paperen_UK
dc.rights.embargodate2023-04-16en_UK
dc.rights.embargoreason[EvoStar_2021_STNs.pdf] Publisher requires embargo of 12 months after publication.en_UK
dc.identifier.doi10.1007/978-3-031-02462-7_15en_UK
dc.citation.issn0302-9743en_UK
dc.citation.spage223en_UK
dc.citation.epage238en_UK
dc.citation.publicationstatusPublisheden_UK
dc.type.statusAM - Accepted Manuscripten_UK
dc.author.emailgoc@cs.stir.ac.uken_UK
dc.citation.btitleApplications of Evolutionary Computationen_UK
dc.citation.conferencedates2022-04-20 - 2022-04-22en_UK
dc.citation.conferencelocationMadrid, Spainen_UK
dc.citation.conferencenameEvoApplications 2022en_UK
dc.citation.date15/04/2022en_UK
dc.citation.isbn9783031024610en_UK
dc.citation.isbn9783031024627en_UK
dc.publisher.addressCham, Switzerlanden_UK
dc.contributor.affiliationUniversity of Tsukubaen_UK
dc.contributor.affiliationUniversity of Tsukubaen_UK
dc.contributor.affiliationComputing Scienceen_UK
dc.identifier.scopusid2-s2.0-85129240426en_UK
dc.identifier.wtid1817172en_UK
dc.contributor.orcid0000-0003-2712-5340en_UK
dc.contributor.orcid0000-0001-7649-5669en_UK
dc.date.accepted2022-01-26en_UK
dcterms.dateAccepted2022-01-26en_UK
dc.date.filedepositdate2022-05-24en_UK
rioxxterms.apcnot requireden_UK
rioxxterms.typeConference Paper/Proceeding/Abstracten_UK
rioxxterms.versionAMen_UK
local.rioxx.authorLavinas, Yuri|0000-0003-2712-5340en_UK
local.rioxx.authorAranha, Claus|en_UK
local.rioxx.authorOchoa, Gabriela|0000-0001-7649-5669en_UK
local.rioxx.projectInternal Project|University of Stirling|https://isni.org/isni/0000000122484331en_UK
local.rioxx.contributorJiménez Laredo, Juan Luis|en_UK
local.rioxx.contributorHidalgo, J. Ignacio|en_UK
local.rioxx.contributorBabaagba, Kehinde Oluwatoyin|en_UK
local.rioxx.freetoreaddate2023-04-16en_UK
local.rioxx.licencehttp://www.rioxx.net/licenses/under-embargo-all-rights-reserved||2023-04-15en_UK
local.rioxx.licencehttps://storre.stir.ac.uk/STORREEndUserLicence.pdf|2023-04-16|en_UK
local.rioxx.filenameEvoStar_2021_STNs.pdfen_UK
local.rioxx.filecount1en_UK
local.rioxx.source9783031024627en_UK
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