Hypervolume-Based Multi-Objective Optimization Method Applying Deep Reinforcement Learning to the Optimization of Turbine Blade Shape

A multi-objective turbine shape optimization method based on deep reinforcement learning (DRL) is proposed. DRL-based optimization methods are useful for repeating optimization tasks that arise in applications such as the design of turbines and automotive parts. In conventional research, DRL is appl...

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Bibliographic Details
Main Authors: Kazuo Yonekura, Ryusei Yamada, Shun Ogawa, Katsuyuki Suzuki
Format: Article
Language:English
Published: MDPI AG 2024-09-01
Series:AI
Subjects:
Online Access:https://www.mdpi.com/2673-2688/5/4/85
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