Comparative Study of Multi‐objective Bayesian Optimization and NSGA‐III based Approaches for Injection Molding Process.
- Published in:
- Advanced Theory & Simulations, 2024, v. 7, n. 7, p. 1, doi. 10.1002/adts.202400135
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- Publication type:
- Article
Works by Park, Kundo
Results: 6
1
2
Optimization of injection molding process using multi-objective bayesian optimization and constrained generative inverse design networks.
- Published in:
- Journal of Intelligent Manufacturing, 2023, v. 34, n. 8, p. 3623, doi. 10.1007/s10845-022-02018-8
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- Publication type:
- Article
3
Deep learning framework for material design space exploration using active transfer learning and data augmentation.
- Published in:
- NPJ Computational Materials, 2021, v. 7, n. 1, p. 1, doi. 10.1038/s41524-021-00609-2
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- Publication type:
- Article
4
Electrode Placement Optimization for Electrical Impedance Tomography Using Active Learning.
- Published in:
- Advanced Engineering Materials, 2024, v. 26, n. 11, p. 1, doi. 10.1002/adem.202301865
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- Publication type:
- Article
5
Hierarchical Generative Network: A Hierarchical Multitask Learning Approach for Accelerated Composite Material Design and Discovery.
- Published in:
- Advanced Engineering Materials, 2023, v. 25, n. 21, p. 1, doi. 10.1002/adem.202300867
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- Publication type:
- Article
6
Multi‐Objective Bayesian Optimization for Laminate‐Inspired Mechanically Reinforced Piezoelectric Self‐Powered Sensing Yarns.
- Published in:
- Advanced Science, 2024, v. 11, n. 33, p. 1, doi. 10.1002/advs.202402440
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- Publication type:
- Article