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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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Bibliografski detalji
Glavni autori: Dinh-Nam Dao, Li-Xin Guo
Format: Artigo
Jezik:Inglês
Izdano: SAGE Publishing 2020-12-01
Serija:Journal of Low Frequency Noise, Vibration and Active Control
Online pristup:https://doi.org/10.1177/1461348419868322
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