Influence of Experiment Design in GPA Investigating with Respect to PRNGs

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dc.contributor.authorBrandejsky, Tomas
dc.coverage.issue2cs
dc.coverage.volume24cs
dc.date.accessioned2019-06-27T06:12:50Z
dc.date.available2019-06-27T06:12:50Z
dc.date.issued2018-12-21cs
dc.description.abstractThis paper analyses the influence of experiment parameters onto the reliability of experiments with genetic programming algorithms. The paper is focused on the required number of experiments and especially on the influence of parallel execution which affect not only the order of thread execution but also behaviors of pseudo random number generators, which frequently do not respect recommendation of C++11 standard and are not implemented as thread safe. The observations and the effect of the suggested improvements are demonstrated on results of 720,000 experiments.en
dc.formattextcs
dc.format.extent69–74cs
dc.format.mimetypeapplication/pdfen
dc.identifier.citationMendel. 2018 vol. 24, č. 2, s. 69–74. ISSN 1803-3814cs
dc.identifier.doi10.13164/mendel.2018.2.069en
dc.identifier.issn2571-3701
dc.identifier.issn1803-3814
dc.identifier.urihttp://hdl.handle.net/11012/179251
dc.language.isoencs
dc.publisherInstitute of Automation and Computer Science, Brno University of Technologycs
dc.relation.ispartofMendelcs
dc.relation.urihttps://mendel-journal.org/index.php/mendel/article/view/18cs
dc.rights.accessopenAccessen
dc.subjectGenetic Programming Algorithmen
dc.subjectEfficiencyen
dc.subjectPseudo Random Number Generatoren
dc.subjectExperiment Repeatabilityen
dc.subjectNumber of Experimentsen
dc.subjectExperiment Results Reliabilityen
dc.titleInfluence of Experiment Design in GPA Investigating with Respect to PRNGsen
dc.type.driverarticleen
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen
eprints.affiliatedInstitution.facultyFakulta strojního inženýrstvícs
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Vol. 24, No. 2