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Llopis-Albert, C.; Rubio Montoya, FJ.; Zeng, S. (2023). Multiobjective optimization framework for designing a vehicle suspension system. A comparison of optimization algorithms. Advances in Engineering Software. 176(103375). https://doi.org/10.1016/j.advengsoft.2022.103375
Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/203341
Título: | Multiobjective optimization framework for designing a vehicle suspension system. A comparison of optimization algorithms | |
Autor: | Zeng, Shouzhen | |
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Recent advances in robotics and digital technologies in the automotive industry, allow the integration of vehicle systems with their virtual twins, thus facilitating their modelling and optimization. As a result, the ...[+]
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Derechos de uso: | Reconocimiento - No comercial - Sin obra derivada (by-nc-nd) | |
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Versión del editor: | https://doi.org/10.1016/j.advengsoft.2022.103375 | |
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