MOPINNs-Reference-Cited by-同舟云学术

MOPINNs

Published:2022-07-09 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the Genetic and Evolutionary Computation Conference Companion
language:
Short-container-title:

Author:

de Wolff Taco¹,Lincopi Hugo Carrillo¹,Martí Luis¹,Sanchez-Pi Nayat¹

Affiliation:

1. Inria Chile Research Center, Las Condes, Región Metropolitana, Chile

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3520304.3529071

Reference27 articles.

1. C. Basdevant etal 1986. Spectral and finite difference solutions of the Burgers equation. Computers & fluids 14 1 (1986) 23--41. C. Basdevant et al. 1986. Spectral and finite difference solutions of the Burgers equation. Computers & fluids 14 1 (1986) 23--41.

2. R. Bischof and M. Kraus. 2021. Multi-Objective Loss Balancing for Physics-Informed Deep Learning. arXiv:2110.09813 [cs.LG] R. Bischof and M. Kraus. 2021. Multi-Objective Loss Balancing for Physics-Informed Deep Learning. arXiv:2110.09813 [cs.LG]

3. Pymoo: Multi-Objective Optimization in Python

4. J. Branke (Eds.) . 2008 . Multiobjective Optimization. Lecture Notes in Computer Science, Vol. 5252 . Springer-Verlag , Berlin/Heidelberg. J. Branke et al. (Eds.). 2008. Multiobjective Optimization. Lecture Notes in Computer Science, Vol. 5252. Springer-Verlag, Berlin/Heidelberg.

5. The multi-task learning with an application of Pareto improvement

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Effective Training of PINNs by Combining CMA-ES with Gradient Descent;2024 IEEE Congress on Evolutionary Computation (CEC);2024-06-30

2. Neuroevolution of Physics-Informed Neural Nets: Benchmark Problems and Comparative Results;Proceedings of the Companion Conference on Genetic and Evolutionary Computation;2023-07-15

3. LSA-PINN: Linear Boundary Connectivity Loss for Solving PDEs on Complex Geometry;2023 International Joint Conference on Neural Networks (IJCNN);2023-06-18