Please use this identifier to cite or link to this item: https://scidar.kg.ac.rs/handle/123456789/18769
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dc.contributor.authorBulatovic, Radovan-
dc.contributor.authorBošković, Goran-
dc.contributor.authorSavković, Mile-
dc.contributor.authorGašić, Milomir-
dc.date.accessioned2023-09-01T08:26:32Z-
dc.date.available2023-09-01T08:26:32Z-
dc.date.issued2014-
dc.identifier.issn1679-7817en_US
dc.identifier.urihttps://scidar.kg.ac.rs/handle/123456789/18769-
dc.description.abstractConstrained optimization is very important issue in engineering design. The problem of constrained optimization contains the objective function with linear and nonlinear constraint equations. In this paper the Improved Cuckoo Search (ICS) algorithm has been applied for solving problems of constrained engineering optimization, which gives better solutions than the standard CS algorithm and the other optimization algorithms used in solving engineering problems from the literature. In the proposed ICS algorithm, dynamic change of parameters of probability and step size is introduced, which are constant in the standard algorithm.en_US
dc.description.urihttps://www.scielo.br/j/lajss/en_US
dc.language.isoenen_US
dc.publisherSciELO - Scientific Electronic Library Onlineen_US
dc.rightsinfo:eu-repo/semantics/openAccess-
dc.sourceLatin American Journal of Solids and Structures-
dc.subjectImproved Cuckoo Search algorithmen_US
dc.subjectengineeringen_US
dc.subjectglobal optimizationen_US
dc.subjectdynamic change of parametersen_US
dc.titleImproved Cuckoo Search (ICS) algorthm for constrained optimization problemsen_US
dc.typearticleen_US
dc.description.versionPublisheden_US
dc.identifier.doihttps://doi.org/10.1590/S1679-78252014000800004en_US
dc.type.versionPublishedVersionen_US
Appears in Collections:Faculty of Mechanical and Civil Engineering, Kraljevo

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