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  2. University of Kragujevac
  3. Faculty of Engineering, Kragujevac
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dc.rights.licenseAttribution-ShareAlike 3.0 United States*
dc.contributor.authorMarjanovic, Nenad-
dc.contributor.authorKostic, Nenad-
dc.contributor.authorPetrović, Nenad-
dc.contributor.authorBlagojevic, Mirko-
dc.contributor.authorMatejic, Milos-
dc.date.accessioned2023-02-23T11:01:27Z-
dc.date.available2023-02-23T11:01:27Z-
dc.date.issued2017-
dc.identifier.isbn978-9940-527-53-2en_US
dc.identifier.urihttps://scidar.kg.ac.rs/handle/123456789/16793-
dc.description.abstractToday, for solving complex engineering problems it is necessary to use optimization methods. Popular methods for finding optimal characteristics are heuristic methods, and the most predominant in use is the genetic algorithm. This paper presents a new modification of the genetic algorithm (iGA) and its testing on complex engineering problems. Results are compared to relevant results from literature for genetic algorithm and other modern optimization methods. The developed modification represents a contribution for practical optimization of engineering problems.en_US
dc.language.isoenen_US
dc.rightsinfo:eu-repo/semantics/openAccess-
dc.rights.urihttp://creativecommons.org/licenses/by-sa/3.0/us/*
dc.sourceInternational Conference on Research and Development of Mechanical Elements and Systems – IRMES 2017en_US
dc.subjectgenetic algorithmen_US
dc.subjectiGAen_US
dc.subjectoptimizationen_US
dc.subjectengineering problemsen_US
dc.subjectheuristicen_US
dc.titleA NEW MODIFICATION OF GENETIC ALGORITHM FOR SOLVING ENGINEERING OPTIMIZATION PROBLEMSen_US
dc.typeconferenceObjecten_US
dc.description.versionPublisheden_US
dc.type.versionPublishedVersionen_US
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