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dc.contributor.authorMilenković, Branislaven_US
dc.contributor.authorKrstić, Mladenen_US
dc.contributor.authorJovanović, Đorđeen_US
dc.date.accessioned2022-02-11T09:23:10Z-
dc.date.available2022-02-11T09:23:10Z-
dc.date.issued2022-
dc.identifier.issn2620-2832-
dc.identifier.urihttp://researchrepository.mi.sanu.ac.rs/handle/123456789/4771-
dc.description.abstractIn this paper, we present the ant colony optimization algorithm (ACO for short), which was used to solve gear box problem design. Biological fundamentals of ACO algorithm, as well as method explanation are presented. The pseudo code for this algorithm was written using Matlab R2018a software suite. At the end, the results obtained by ACO algorithm are compared to the results previously obtained by other algorithms.en_US
dc.publisherUniversity of Kragujevac, Faculty of Engineeringen_US
dc.relation.ispartofProceedings on Engineering Sciencesen_US
dc.subjectOptimization | Ant | Algorithm | Gear boxen_US
dc.titleАpplying Ant Colony Optimization Algorithm to Solve Gear Box Designen_US
dc.typeArticleen_US
dc.identifier.doi10.24874/PES04.01.009-
dc.identifier.scopus2-s2.0-85130319466-
dc.contributor.affiliationMechanicsen_US
dc.contributor.affiliationComputer Scienceen_US
dc.contributor.affiliationMathematical Institute of the Serbian Academy of Sciences and Arts-
dc.relation.firstpage63-
dc.relation.lastpage68-
dc.relation.issue1-
dc.relation.volume4-
dc.description.rankM54-
item.grantfulltextnone-
item.cerifentitytypePublications-
item.fulltextNo Fulltext-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.openairetypeArticle-
crisitem.author.orcid0000-0003-4606-0095-
crisitem.author.orcid0000-0003-1222-1292-
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