Traditional evolution algorithms tend to start the search from scratch. However, real-world
problems seldom exist in isolation and humans effectively manage and execute multiple …

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 …

Traditional evolution algorithms tend to start the search from scratch. However, real-world
problems seldom exist in isolation and humans effectively manage and execute multiple …