Multi-objective optimization of an engine mount design by means of memetic genetic programming and a local exploration approach
This work addresses the optimization of an engine mount design from a multi-objective scenario. Our methodology is divided into three phases: phase one focuses on data collection through computer simulations. The objectives considered during the analyses are: total mass, first natural frequency and...
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| その他の著者: | , , |
| フォーマット: | Artículo |
| 言語: | English |
| 出版事項: |
2018
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| 主題: | |
| オンライン･アクセス: | https://doi.org/10.1007/s10845-018-1432-9 https://link.springer.com/article/10.1007/s10845-018-1432-9#citeas |
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