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Mortda Mohammed Sahib

As seen in: MDPI
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Articles

Using Artificial Neural Networks to Predict the Bending Behavior of Composite Sandwich Structures

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By Mortda Mohammed Sahib, György Kovács, Mortda Mohammed
| MDPI
All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.
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Elaboration of a Multi-Objective Optimization Method for High-Speed Train Floors Using Composite Sandwich Structures

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By György Kovács, Mortda Mohammed Sahib, Mortda Mohammed
| MDPI
6.1. Results of the Elaborated Optimization Method In contrast to single-objective optimization problems, the solution of a multi-objective optimization problem is not unique. Instead, a range of optimal solutions can be considered. In multi-objective optimization, the improvement of one objective may lead to the deterioration of the performance of the other objectives.
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