Please use this identifier to cite or link to this item: https://scidar.kg.ac.rs/handle/123456789/17537
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dc.contributor.authorVulovic, Snezana-
dc.contributor.authorDunić, Vladimir-
dc.contributor.authorZivkovic, Miroslav-
dc.contributor.authorMilovanović, Vladimir-
dc.contributor.authorŽivković, Jelena-
dc.date.accessioned2023-03-31T16:01:46Z-
dc.date.available2023-03-31T16:01:46Z-
dc.date.issued2020-
dc.identifier.isbn978-86-85525-24-7en_US
dc.identifier.urihttps://scidar.kg.ac.rs/handle/123456789/17537-
dc.description.abstractSimulation-based optimization integrates optimization techniques into a simulation analysis. Because of the complexity of the simulation, the objective function becomes difficult and expensive for an evaluation. In our example, the simulation considers structural analysis using the finite element method (FEM), the estimation of the welds number, the costs associated with the welding process, and the simplicity of the assembly process. To overcome the computing complexity, we are using OSICE, a comprehensive, cost-effective, and easy-to-use HPC/Grid and Cloud-based optimization service for solving large-scale optimization problems using parallel evolutionary algorithms. For this particular Application Experiment, after the initial definition of technical requirements, PAK input/output interfaces were redesigned to fit OSICE and CloudiFacturing requirements.en_US
dc.language.isoenen_US
dc.relationTR32036en_US
dc.subjectsimulation-based optimizationen_US
dc.titleRedesign of PAK’s interfaces to fit OSICE and CloudiFacturing requirementsen_US
dc.typeconferenceObjecten_US
dc.description.versionPublisheden_US
dc.relation.conferenceICIST 2020 - 10th International Conference on Information Society and Technologyen_US
dc.type.versionPublishedVersionen_US
Appears in Collections:Faculty of Engineering, Kragujevac

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