Молимо вас користите овај идентификатор за цитирање или овај линк до ове ставке: https://scidar.kg.ac.rs/handle/123456789/16705
Пун извештај метаподатака
Поље DC-а ВредностЈезик
dc.rights.licenseAttribution-NonCommercial 3.0 United States*
dc.contributor.authorMarjanovic, Nenad-
dc.contributor.authorKostic, Nenad-
dc.contributor.authorPetrovic, Nenad-
dc.contributor.authorMatejic, Milos-
dc.contributor.authorBlagojevic, Mirko-
dc.date.accessioned2023-02-21T10:23:05Z-
dc.date.available2023-02-21T10:23:05Z-
dc.date.issued2016-
dc.identifier.issn1584-2673en_US
dc.identifier.urihttps://scidar.kg.ac.rs/handle/123456789/16705-
dc.description.abstractThis research is directed towards controlling genetic algorithm operator parameters. Simulations have been done in MatLab on examples taken from literature for genetic algorithm testing. Based on a large number of simulations with different parameter values, algorithm operator values are attained experimentally. An analysis of results has been completed in Statistica, as well as the creation ofž nonlinear equations for the correlation between operators and results. By optimizing the derived equations it is possible to determine general parameter values of operators which will have beneficial optimization performances, in terms of convergence. One equation which gives the best optimization values is favored. Attained values are again tested on new examples which define achieved performance and benefits of this approach. These results lead to a simplified use of the genetic algorithm for practical optimization with satisfactory results. This approach has a practical engineering optimization use perspective.en_US
dc.language.isoenen_US
dc.rightsinfo:eu-repo/semantics/openAccess-
dc.rights.urihttp://creativecommons.org/licenses/by-nc/3.0/us/*
dc.sourceAnnals of Faculty Engineering Hunedoara International Journal of Engineering-
dc.subjectGenetic algorithmen_US
dc.subjectParameter controlen_US
dc.subjectOperatorsen_US
dc.subjectMatLaben_US
dc.subjectMathematical modeen_US
dc.titleGENETIC ALGORITHM PARAMETER CONTROL FOR ACHIEVING BETTER OPTIMIZATION PERFORMANCEen_US
dc.typearticleen_US
dc.description.versionPublisheden_US
dc.type.versionPublishedVersionen_US
Налази се у колекцијама:Faculty of Engineering, Kragujevac

Број прегледа

785

Број преузимања

15

Датотеке у овој ставци:
Датотека Опис ВеличинаФормат 
ANNALS-2016-1-39.pdf574.12 kBAdobe PDFСличица
Погледајте


Ова ставка је заштићена лиценцом Креативне заједнице Creative Commons