Self-adjusting multidisciplinary design of hydraulic engine mount using bond graphs and inductive genetic programming
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- 作者：S. Karim Tabatabaeia ; tabatabaei@me.iut.ac.ir" class="auth_mail" title="E-mail the corresponding author ; Saeed Behbahania ; Clarence W. de Silvab
- 关键词：Multidisciplinary design ; Inductive genetic programming ; Bond graphs ; Artificial immune system ; Evolutionary design
- 刊名：Engineering Applications of Artificial Intelligence
- 出版年：2016
- 出版时间：February 2016
- 年：2016
- 卷：48
- 期：Complete
- 页码：32-39
- 全文大小：1928 K
文摘
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We propose a methodology for optimal design of multidisciplinary systems.
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We propose inductive genetic programming along bond graph for topology optimization.
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We suggest learning capability and dynamically self-tuning design procedure.
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We extract knowledge through the use of suggested algorithm.
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In a case study we show the superiority of proposed method comparing previous work.