Please use this identifier to cite or link to this item: https://scidar.kg.ac.rs/handle/123456789/15276
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dc.rights.licenseopenAccess-
dc.contributor.authorMiodragović, Goran-
dc.contributor.authorBoskovic, Marina-
dc.contributor.authorBulatovic, Radovan-
dc.date.accessioned2022-11-29T09:22:37Z-
dc.date.available2022-11-29T09:22:37Z-
dc.date.issued2022-
dc.identifier.citationG. Miodragović, M. Bošković, and R. Bulatović, "The application of metaheuristic algorithms in multi-objective optimization of engineering problems," Engineering Today, vol. 1, no. 3, pp. 7-15, 2022, doi: 10.5937/engtoday2203007M.en_US
dc.identifier.issn2812-9474en_US
dc.identifier.urihttps://scidar.kg.ac.rs/handle/123456789/15276-
dc.description.abstractComparative testing of three modified metaheuristic algorithms - the cyclic algorithm of the bat family (Loop BFA), the hybrid cuckoo search and the firefly algorithm (H-CS-FA) and the modified krill herd algorithm (MKH)was performed in the paper. The authors tested these algorithms in relation to original ones and the effectiveness of the modifications was confirmed for each individual algorithm. Here, the effectiveness of all three algorithms was verified on two engineering problems in the field of metal cutting - optimization of the body of the turning knife and optimization of the eccentric of the clamping tool. In both cases, multi-objective optimization with two objective functions was performed. By comparing the obtained optimization results as well as the speed of convergence, appropriate conclusions about the efficiency of the algorithms and recommendations for their application were made.en_US
dc.language.isoenen_US
dc.publisherUniversity of Kragujevac, Faculty of Mechanical and Civil Engineering, Kraljevoen_US
dc.rightsinfo:eu-repo/semantics/openAccess-
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/-
dc.sourceEngineering Todayen_US
dc.subjectmetaheuristicen_US
dc.subjectmultiobjective optimizationen_US
dc.subjectmodified algorithmsen_US
dc.subjectturning knifeen_US
dc.subjecteccentric of clamping toolen_US
dc.titleThe application of metaheuristic algorithms in multi-objective optimization of engineering problemsen_US
dc.typearticleen_US
dc.description.versionPublisheden_US
dc.identifier.doi10.5937/engtoday2203007Men_US
dc.type.versionPublishedVersionen_US
Appears in Collections:Faculty of Mechanical and Civil Engineering, Kraljevo

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