Gray-Box Tunneling for Multi-Objective Combinatorial Optimization

Multi-objective combinatorial optimization aims at simultaneously optimizing several, potentially conflicting, objective functions over a discrete decision space. In many combinatorial optimization problems, objective functions exhibit a gray-box structure , e.g., they can be decomposed into sub-functions involving only a restricted number of decision variables.