New hybrid between SPEA/R with deep neural network: Application to predicting the multi-objective optimization of the stiffness parameter for powertrain mount systems
In this study, a new methodology, hybrid Strength Pareto Evolutionary Algorithm Reference Direction (SPEA/R) with Deep Neural Network (HDNN&SPEA/R), has been developed to achieve cost optimization of stiffness parameter for powertrain mount systems. This problem is formalized as a multi-objective op...
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| Huvudupphov: | , |
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| Materialtyp: | Artigo |
| Språk: | Inglês |
| Utgiven: |
SAGE Publishing
2020-12-01
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| Serie: | Journal of Low Frequency Noise, Vibration and Active Control |
| Länkar: | https://doi.org/10.1177/1461348419868322 |
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