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dc.contributor.authorJovanović, Đorđeen_US
dc.contributor.authorMilenković, Branislaven_US
dc.contributor.authorKrstić, Mladenen_US
dc.date.accessioned2020-10-02T07:45:18Z-
dc.date.available2020-10-02T07:45:18Z-
dc.date.issued2020-09-
dc.identifier.isbn978-86-84231-50-7-
dc.identifier.urihttp://researchrepository.mi.sanu.ac.rs/handle/123456789/4140-
dc.description.abstractIn the past fifteen years, a number of methods that solve complex optimization problems in a more efficient manner have appeared. All these methods have emerged as an inspiration to the corresponding phenomena in nature, so they are called biologically inspired methods.In this paper we demonstrate how Grasshopper Optimization Algorithm (GOA for short) can be used for solving certain optimization problems in engineering. In the introduction part, biological fundamentals, as well as method explanation are given. The pseudo code for this algorithm was written using Matlab R2018a software suite. This algorithm can be used for optimization of engineering problems, such as: pressure vessel optimization, beam optimization and cone coupling optimization. At the end of this paper, results and conclusions are presented.en_US
dc.subjectoptimization | grasshopper algorithm | pressure vessel | beam | cone couplingen_US
dc.titleApplication of grasshopper optimization algorithm in mechanical engineeringen_US
dc.typeConference Paperen_US
dc.relation.conferenceYoung Researchers Conference, Belgrade, Serbia, September 28 2020-
dc.contributor.affiliationMathematical Institute of the Serbian Academy of Sciences and Arts-
dc.relation.firstpage1-
dc.relation.lastpage6-
dc.description.rankM33-
item.cerifentitytypePublications-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.openairetypeConference Paper-
item.grantfulltextnone-
item.fulltextNo Fulltext-
crisitem.author.orcid0000-0003-1222-1292-
crisitem.author.orcid0000-0003-4606-0095-
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