Can Transfer Neuroevolution Tractably Solve Your Differential Equations?
Can Transfer Neuroevolution Tractably Solve Your Differential Equations?
This paper introduces neuroevolution for solving differential equations. The solution is obtained through optimizing a deep neural network whose loss function is defined by the residual terms from the differential equations. Recent studies have focused on learning such physics-informed neural networks through stochastic gradient descent (SGD) variants, yet they face …