Bridging Nature-Art-Engineering with Generative Design

Author(s):  
Dusko Radakovic
Keyword(s):  
Entropy ◽  
2020 ◽  
Vol 23 (1) ◽  
pp. 28
Author(s):  
Anna V. Kalyuzhnaya ◽  
Nikolay O. Nikitin ◽  
Alexander Hvatov ◽  
Mikhail Maslyaev ◽  
Mikhail Yachmenkov ◽  
...  

In this paper, we describe the concept of generative design approach applied to the automated evolutionary learning of mathematical models in a computationally efficient way. To formalize the problems of models’ design and co-design, the generalized formulation of the modeling workflow is proposed. A parallelized evolutionary learning approach for the identification of model structure is described for the equation-based model and composite machine learning models. Moreover, the involvement of the performance models in the design process is analyzed. A set of experiments with various models and computational resources is conducted to verify different aspects of the proposed approach.


Author(s):  
Aleksandr Lukin ◽  
Svetlana Perepelkina ◽  
Galina Demidova ◽  
Dmitry Lukichev ◽  
Anton Rassolkin ◽  
...  

2021 ◽  
Vol 1128 (1) ◽  
pp. 012016
Author(s):  
Adarsh Balasubramanian ◽  
G Shaktivel ◽  
N Raghukiran

Author(s):  
Soyoung Yoo ◽  
Sunghee Lee ◽  
Seongsin Kim ◽  
Kwang Hyeon Hwang ◽  
Jong Ho Park ◽  
...  

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