Evolutionary digital twin: A new approach for intelligent industrial product development

[1]  Shane Legg,et al.  Human-level control through deep reinforcement learning , 2015, Nature.

[2]  Lisa R. Goldberg,et al.  The Book of Why: The New Science of Cause and Effect† , 2019, Quantitative Finance.

[3]  Zhao Dong-bin.  Parallel Control Theory of Complex Systems and Applications , 2012 .

[4]  Jeff Estefan.  MBSE Methodology Survey , 2009 .

[5]  Marcin Andrychowicz,et al.  Hindsight Experience Replay , 2017, NIPS.

[6]  Gang Xiong,et al.  Parallel system method to improve safety and reliability of nuclear power plants , 2011, 2011 9th World Congress on Intelligent Control and Automation.

[7]  Roland Rosen,et al.  About The Importance of Autonomy and Digital Twins for the Future of Manufacturing , 2015 .

[8]  John S. Gero,et al.  The Situated Function — Behaviour — Structure Framework , 2004 .

[9]  Heming Zhang,et al.  A model-driven approach to multidisciplinary collaborative simulation for virtual product development , 2010, Adv. Eng. Informatics.

[10]  Xianbin Wang,et al.  Towards product customization and personalization in IoT-enabled cloud manufacturing , 2017, Cluster Computing.

[11]  Minoru Asada,et al.  Purposive behavior acquisition for a real robot by vision-based reinforcement learning , 1995, Machine Learning.

[12]  Jay Lee,et al.  Wind turbine performance assessment using multi-regime modeling approach , 2012 .

[13]  Demis Hassabis,et al.  Mastering the game of Go with deep neural networks and tree search , 2016, Nature.

[14]  Chen Yang,et al.  An efficient approach to collaborative simulation of variable structure systems on multi-core machines , 2016, Cluster Computing.

[15]  Fei-Yue Wang,et al.  Intelligent systems and technology for integrative and predictive medicine: An ACP approach , 2013, TIST.

[16]  Rikard Söderberg,et al.  Toward a Digital Twin for real-time geometry assurance in individualized production , 2017 .

[17]  Shengfeng Qin,et al.  Future Digital Design and Manufacturing: Embracing Industry 4.0 and Beyond , 2017 .