Performance and Explainability Requirements of Evolutionary Algorithms in Real-World Physics-Informed Optimization

ArXi:2605.28164v1 Announce Type: cross Evolutionary computation offers a variety of tools to solve complex real-world optimization problems. However, research often focuses on smaller, simplified problems and optimization algorithms that sometimes miss expectations in real-world scenarios. Additionally, trust in the applied algorithm and the solutions it provides is often essential in such settings, but requires an understanding of the search process itself.