A method for designing filament-wound composite frame structures using a data-driven evolutionary optimisation algorithm EvoDN2
Author:
Affiliation:
1. Department of Mechanics, Biomechanics and Mechatronics, Faculty of Mechanical Engineering, Czech Technical University in Prague, Prague, Czech Republic
Funder
Czech Technical University in Prague
Publisher
Informa UK Limited
Subject
Condensed Matter Physics
Link
https://www.tandfonline.com/doi/pdf/10.1080/09500839.2023.2272975
Reference18 articles.
1. A filament-wound structure technology overview
2. Experimental Development of Composite Bicycle Frame
3. Application of the Finite Element Method in the Analysis of Composite Materials: A Review
4. A. Malá, Z. Padovec, T. Mareš, and N. Chakraborti, Shallow and deep evolutionary neural networks applications in solid mechanics, in Advanced Machine Learning with Evolutionary and Metaheuristic Techniques, J. Valadi, K.P. Singh, M. Ojha, and P. Siarry, ed., Springer, Springer Nature Singapore Pvt Ltd.
5. Nonlinear Multiobjective Optimization
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