Researchers Boost Minimum Set Cover Problem Solver by Exploiting Structural Decomposition

Computer scientists developed a preprocessing strategy using union-find algorithms to decompose the NP-hard Minimum Set Cover Problem into independent subproblems, then solved each using GRASP metaheuristics. The approach improved solution quality and scalability on large instances, offering practical computational advances for real-world optimization applications.