- Article
Evolutionary PINN Learning Algorithms Inspired by Approximation to Pareto Front for Solving Ill-Posed Problems
- Tatiana Lazovskaya,
- Dmitriy Tarkhov,
- Maria Chistyakova,
- Egor Razumov,
- Anna Sergeeva and
- Tatiana Shemyakina
The article presents the development of new physics-informed evolutionary neural network learning algorithms. These algorithms aim to address the challenges of ill-posed problems by constructing a population close to the Pareto front. The study focus...

