Standard Quadratic Optimization problems are an important family of problems with a large number of applications in finance, decision science, graphs algorithms, etc.For these nonconvex problems, we are interested in finding global optima; however, exact global optimization algorithms hardly scale
Advanced memetic algorithms for clustering
This topic is related to a paper we recently published on this subject: P. Mansueto and F. Schoen, “Memetic differential evolution methods for clustering problems“, Pattern Recognition, 114, 2021. The idea is to extend those methods and experiment with different