PSO-PINN: Physics-Informed Neural Networks Trained with Particle Swarm Optimization. (arXiv:2202.01943v3 [cs.LG] UPDATED)

Physics-informed neural networks (PINN) have recently emerged as a promising
application of deep learning in a wide range of engineering and scientific
problems based on partial differential equation (PDE) models. However, evidence
shows that PINN training by gradient descent displays pathologies that often
prevent convergence when solving PDEs with irregular solutions. In this paper,
we propose the use of a particle swarm optimization (PSO) approach to train
PINNs. The resulting PSO-PINN algorithm not only mitigates the undesired
behaviors of PINNs …

arxiv networks neural networks optimization physics pso