Robustimizer: A graphical user interface application for efficient uncertainty quantification, robust optimization, and reliability-based optimization of processes and designs
The primary goal of this work is to provide easy-to-use and cutting-edge optimization software designed to handle uncertainties, intended for use in research and education. Robustimizer offers efficient uncertainty quantification through exact analytic formulas using specific surrogate models, such...
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| Format: | Article |
| Language: | English |
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Elsevier
2025-05-01
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| Series: | SoftwareX |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2352711025000445 |
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| author | Omid Nejadseyfi |
| author_facet | Omid Nejadseyfi |
| author_sort | Omid Nejadseyfi |
| collection | DOAJ |
| description | The primary goal of this work is to provide easy-to-use and cutting-edge optimization software designed to handle uncertainties, intended for use in research and education. Robustimizer offers efficient uncertainty quantification through exact analytic formulas using specific surrogate models, such as Gaussian Processes. Moreover, it supports integration with other software packages, and automatic updating of initial design space through exploration–exploitation techniques, among other features. This software has proven its value in sustainable manufacturing, where optimizing processes to reduce environmental impact while managing uncertainties is critical. In this article, the Robustimizer graphical user interface is introduced as a domain-independent optimization tool for surrogate-model-based robust and reliability-based design or process optimization. |
| format | Article |
| id | doaj-art-eeb1a97beb49462ba8237017fa04e14f |
| institution | DOAJ |
| issn | 2352-7110 |
| language | English |
| publishDate | 2025-05-01 |
| publisher | Elsevier |
| record_format | Article |
| series | SoftwareX |
| spelling | doaj-art-eeb1a97beb49462ba8237017fa04e14f2025-08-20T03:12:15ZengElsevierSoftwareX2352-71102025-05-013010207710.1016/j.softx.2025.102077Robustimizer: A graphical user interface application for efficient uncertainty quantification, robust optimization, and reliability-based optimization of processes and designsOmid Nejadseyfi0Computational Design and Mechanics, Precision and Microsystems Engineering Department, Mechanical Engineering Faculty, Delft University of Technology, Mekelweg 2, 2628 CD, Delft, The NetherlandsThe primary goal of this work is to provide easy-to-use and cutting-edge optimization software designed to handle uncertainties, intended for use in research and education. Robustimizer offers efficient uncertainty quantification through exact analytic formulas using specific surrogate models, such as Gaussian Processes. Moreover, it supports integration with other software packages, and automatic updating of initial design space through exploration–exploitation techniques, among other features. This software has proven its value in sustainable manufacturing, where optimizing processes to reduce environmental impact while managing uncertainties is critical. In this article, the Robustimizer graphical user interface is introduced as a domain-independent optimization tool for surrogate-model-based robust and reliability-based design or process optimization.http://www.sciencedirect.com/science/article/pii/S2352711025000445Uncertainty quantificationRobust optimizationReliability-based optimizationSurrogate model |
| spellingShingle | Omid Nejadseyfi Robustimizer: A graphical user interface application for efficient uncertainty quantification, robust optimization, and reliability-based optimization of processes and designs SoftwareX Uncertainty quantification Robust optimization Reliability-based optimization Surrogate model |
| title | Robustimizer: A graphical user interface application for efficient uncertainty quantification, robust optimization, and reliability-based optimization of processes and designs |
| title_full | Robustimizer: A graphical user interface application for efficient uncertainty quantification, robust optimization, and reliability-based optimization of processes and designs |
| title_fullStr | Robustimizer: A graphical user interface application for efficient uncertainty quantification, robust optimization, and reliability-based optimization of processes and designs |
| title_full_unstemmed | Robustimizer: A graphical user interface application for efficient uncertainty quantification, robust optimization, and reliability-based optimization of processes and designs |
| title_short | Robustimizer: A graphical user interface application for efficient uncertainty quantification, robust optimization, and reliability-based optimization of processes and designs |
| title_sort | robustimizer a graphical user interface application for efficient uncertainty quantification robust optimization and reliability based optimization of processes and designs |
| topic | Uncertainty quantification Robust optimization Reliability-based optimization Surrogate model |
| url | http://www.sciencedirect.com/science/article/pii/S2352711025000445 |
| work_keys_str_mv | AT omidnejadseyfi robustimizeragraphicaluserinterfaceapplicationforefficientuncertaintyquantificationrobustoptimizationandreliabilitybasedoptimizationofprocessesanddesigns |