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dc.rights.licenseCC BY-NC-ND. Users may download and share copies with attribution in accordance with a Creative Commons Attribution-Noncommercial-No Derivative Works 3.0 License. No commercial use or derivatives are permitted without the explicit approval of the author.
dc.contributorFranklin, W. Randolph
dc.contributor.authorLeStage, Nathan
dc.date.accessioned2021-11-03T07:59:58Z
dc.date.available2021-11-03T07:59:58Z
dc.date.created2009-05-05T11:31:30Z
dc.date.issued2009-05
dc.identifier.urihttps://hdl.handle.net/20.500.13015/901
dc.descriptionMay 2009
dc.descriptionSchool of Science
dc.language.isoENG
dc.publisherRensselaer Polytechnic Institute, Troy, NY
dc.relation.ispartofRensselaer Theses and Dissertations Online Collection
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 United States*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/us/*
dc.subjectComputer science
dc.titleGenetic algorithm tuning: overcoming diversity loss in tournament selection
dc.typeElectronic thesis
dc.typeThesis
dc.digitool.pid16723
dc.digitool.pid16724
dc.digitool.pid16726
dc.digitool.pid16725
dc.digitool.pid16727
dc.rights.holderThis electronic version is a licensed copy owned by Rensselaer Polytechnic Institute, Troy, NY. Copyright of original work retained by author.
dc.description.degreeMS
dc.relation.departmentDept. of Computer Science


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CC BY-NC-ND. Users may download and share copies with attribution in accordance with a Creative Commons Attribution-Noncommercial-No Derivative Works 3.0 License. No commercial use or derivatives are permitted without the explicit approval of the author.
Except where otherwise noted, this item's license is described as CC BY-NC-ND. Users may download and share copies with attribution in accordance with a Creative Commons Attribution-Noncommercial-No Derivative Works 3.0 License. No commercial use or derivatives are permitted without the explicit approval of the author.