Understanding the Algorithm Configuration Problem in Optimization

The author explores the Algorithm Configuration Problem, focusing on optimizing parametrized algorithms for specific instances of decision/optimization problems. They present a framework that formalizes the problem and outlines various approaches using machine learning models and heuristic strategies.