Explore a cutting-edge lecture on a novel algorithm for computing the strong-interaction limit of density functional theory. Delve into the development of the genetic column generation (GenCol) method, which offers a simple, accurate, and highly efficient approach to calculating the limiting XC functional. Discover how this algorithm combines rigorous sparsity of optimal plans, column generation from discrete optimization, and machine learning concepts to overcome computational challenges. Examine the method's performance on benchmark problems and its potential to break the curse of dimensionality in particle systems. Gain insights into the implications of this research for understanding strongly correlated systems and improving future XC functionals in quantum mechanics.