Reinforcement learning applied to multidisciplinary systems design optimization of an aerial vehicle

The engineering design problems have been highly complex and time-consuming. Real-world engineering systems also suffer many systems and subsystems levels challenges during the entire product life cycle because of their inevitable multidisciplinary nature and complex coupling between different subsy...

Ausführliche Beschreibung

Bibliographische Detailangaben

Hauptverfasser:	Bataleblu, Ali A., Bakhtiari, Zahra, Roshanian, Jafar, Ginchev, Dimitar
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Artificial intelligence Design engineering Design optimization Machine learning Multidisciplinary design optimization Product life cycle Semi-supervised learning Subsystems Systems design Unsupervised learning
Online-Zugang:	Volltext
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