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Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/35621
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dc.contributor.authorChacón Sartori, Camiloen_UK
dc.contributor.authorBlum, Christianen_UK
dc.contributor.authorOchoa, Gabrielaen_UK
dc.date.accessioned2023-11-30T01:15:03Z-
dc.date.available2023-11-30T01:15:03Z-
dc.date.issued2023-09en_UK
dc.identifier.other100558en_UK
dc.identifier.urihttp://hdl.handle.net/1893/35621-
dc.description.abstractSTNWeb is a new web tool for the visualization of the behavior of optimization algorithms such as metaheuristics. It allows for the graphical analysis of multiple runs of multiple algorithms on the same problem instance and, in this way, it facilitates the understanding of algorithm behavior. It may help, for example, in identifying the reasons for a rather low algorithm performance. This, in turn, can help the algorithm designer to change the algorithm in order to improve its performance. STNWeb is designed to be user-friendly. Moreover, it is offered for free to the research community.en_UK
dc.language.isoenen_UK
dc.publisherElsevier BVen_UK
dc.relationChacón Sartori C, Blum C & Ochoa G (2023) STNWeb: A new visualization tool for analyzing optimization algorithms. <i>Software Impacts</i>, 17, Art. No.: 100558. https://doi.org/10.1016/j.simpa.2023.100558en_UK
dc.rightsThis article is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International http://creativecommons.org/licenses/by-nc-nd/4.0/en_UK
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/en_UK
dc.subjectAlgorithm analysisen_UK
dc.subjectVisualizationen_UK
dc.subjectBehavior of optimization algorithmsen_UK
dc.subjectWeb applicationen_UK
dc.titleSTNWeb: A new visualization tool for analyzing optimization algorithmsen_UK
dc.typeJournal Articleen_UK
dc.identifier.doi10.1016/j.simpa.2023.100558en_UK
dc.citation.jtitleSoftware impactsen_UK
dc.citation.issn2665-9638en_UK
dc.citation.volume17en_UK
dc.citation.publicationstatusPublisheden_UK
dc.citation.peerreviewedRefereeden_UK
dc.type.statusVoR - Version of Recorden_UK
dc.contributor.funderAgencia Estatal de Investigaciónen_UK
dc.author.emailgabriela.ochoa@stir.ac.uken_UK
dc.citation.date11/08/2023en_UK
dc.contributor.affiliationUniversitat Autonoma de Barcelonaen_UK
dc.contributor.affiliationUniversitat Autonoma de Barcelonaen_UK
dc.contributor.affiliationComputing Scienceen_UK
dc.identifier.isiWOS:001058077300001en_UK
dc.identifier.scopusid2-s2.0-85167460866en_UK
dc.identifier.wtid1955802en_UK
dc.contributor.orcid0000-0002-1736-3559en_UK
dc.contributor.orcid0000-0001-7649-5669en_UK
dc.date.accepted2023-07-26en_UK
dcterms.dateAccepted2023-07-26en_UK
dc.date.filedepositdate2023-11-20en_UK
rioxxterms.apcnot requireden_UK
rioxxterms.typeJournal Article/Reviewen_UK
rioxxterms.versionVoRen_UK
local.rioxx.authorChacón Sartori, Camilo|en_UK
local.rioxx.authorBlum, Christian|0000-0002-1736-3559en_UK
local.rioxx.authorOchoa, Gabriela|0000-0001-7649-5669en_UK
local.rioxx.projectTED2021-129319B-I00|Agencia Estatal de Investigación|en_UK
local.rioxx.freetoreaddate2023-11-20en_UK
local.rioxx.licencehttp://creativecommons.org/licenses/by-nc-nd/4.0/|2023-11-20|en_UK
local.rioxx.filename1-s2.0-S2665963823000957-main.pdfen_UK
local.rioxx.filecount1en_UK
local.rioxx.source2665-9638en_UK
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