Open Problem in Physics Explained - Data Driven Optimization

In this episode of Simply Science, we explore how data-driven evolutionary optimization is reshaping the way we solve complex problems. Unlike traditional methods relying on straightforward objective functions, this cutting-edge approach uses data from simulations, experiments, and real-world observations to evaluate solutions.
However, real-world data often comes with challenges like noise and heterogeneity, making optimization more complicated. Enter physics-informed models—AI-inspired frameworks that integrate physical knowledge to reduce computational costs and improve generalization…