Please use this identifier to cite or link to this item: https://scidar.kg.ac.rs/handle/123456789/19545
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dc.contributor.authorMilenković, Branislav-
dc.contributor.authorBulatovic, Radovan-
dc.contributor.authorAtanasovska, Ivana-
dc.contributor.editorSavković, Mile-
dc.date.accessioned2023-12-06T10:59:37Z-
dc.date.available2023-12-06T10:59:37Z-
dc.date.issued2021-
dc.identifier.isbn978-86-82434-01-6en_US
dc.identifier.urihttps://scidar.kg.ac.rs/handle/123456789/19545-
dc.description.abstractToday, there is increasing use of optimization methods in order to achieve acceptable performance. In this paper we will demonstrate how Grasshopper Optimization Algorithm (GOA for short) can be used for solving certain optimization problems in engineering. In the first part, biological fundamentals, as well as method explanation are given. Afterwards, the GOA algorithm and its’ applicability is explained in detail. 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: helical spring optimization, car side impact optimization, cone clutch optimization and speed reducer optimization. In the end, all the results for the fore mentioned problems, as well as a result comparison with other methods are shown.en_US
dc.language.isoenen_US
dc.publisherFaculty of Mechanical and Civil Engineering in Kraljevoen_US
dc.rightsinfo:eu-repo/semantics/openAccess-
dc.sourceTHE ELEVENTH TRIENNIAL INTERNATIONAL CONFERENCE HEAVY MACHINERY HM 2023en_US
dc.subjectOptimizationen_US
dc.subjectGrasshopper algorithmen_US
dc.subjectHelical springen_US
dc.subjectCar side impacten_US
dc.subjectCone clutchen_US
dc.subjectpeed reduceren_US
dc.titleApplication of Grasshopper Algorithm for Solving Optimization Problems in Engineeringen_US
dc.typeconferenceObjecten_US
dc.description.versionPublisheden_US
dc.type.versionPublishedVersionen_US
Appears in Collections:Faculty of Mechanical and Civil Engineering, Kraljevo

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